{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "import random\n",
    "import math\n",
    "import re\n",
    "import time\n",
    "import numpy as np\n",
    "import cv2\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import h5py \n",
    "import datetime\n",
    "\n",
    "# Root directory of the project\n",
    "path = '/mnt/sh_flex_storage/malu/venv/CHIPS_MRCNN'\n",
    "ROOT_DIR = os.path.abspath(path)\n",
    "\n",
    "# Import Mask RCNN\n",
    "sys.path.append(ROOT_DIR)  # To find local version of the library\n",
    "from mrcnn.config import Config\n",
    "from mrcnn import utils\n",
    "import mrcnn.model as modellib\n",
    "from mrcnn import visualize\n",
    "from mrcnn.model import log\n",
    "\n",
    "%matplotlib inline \n",
    "\n",
    "# Directory to save logs and trained model\n",
    "MODEL_DIR = os.path.join(ROOT_DIR, \"logs_new\")\n",
    "\n",
    "# Local path to trained weights file\n",
    "COCO_MODEL_PATH = os.path.join(ROOT_DIR, \"mask_rcnn_coco.h5\")\n",
    "# Download COCO trained weights from Releases if needed\n",
    "if not os.path.exists(COCO_MODEL_PATH):\n",
    "    utils.download_trained_weights(COCO_MODEL_PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ROOT_DIR: /mnt/sh_flex_storage/malu/venv/CHIPS_MRCNN\n",
      "MODEL_DIR: /mnt/sh_flex_storage/malu/venv/CHIPS_MRCNN/logs_new\n",
      "COCO_MODEL_PATH: /mnt/sh_flex_storage/malu/venv/CHIPS_MRCNN/mask_rcnn_coco.h5\n"
     ]
    }
   ],
   "source": [
    "print('ROOT_DIR:',ROOT_DIR)\n",
    "print('MODEL_DIR:',MODEL_DIR)\n",
    "print('COCO_MODEL_PATH:',COCO_MODEL_PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_path = 'new_train.h5'\n",
    "test_path = 'new_test.h5'\n",
    "train_set = h5py.File(train_path,'r')\n",
    "test_set = h5py.File(test_path,'r')\n",
    "\n",
    "train_images = train_set['input']\n",
    "test_images = test_set['input']\n",
    "train_masks = train_set['output']\n",
    "test_masks = test_set['output']\n",
    "\n",
    "del train_set\n",
    "del test_set\n",
    "NUM_TRAIN = train_images.shape[0] # 2224*224\n",
    "NUM_TEST = test_images.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "image_full = train_images[0,:].reshape((6,224,224))\n",
    "image_sel = np.array([image_full[0,:,:],image_full[1,:,:],image_full[2,:,:]])\n",
    "image_sel_reshape = np.zeros((224,224,3))\n",
    "for i in range(224):\n",
    "    for j in range(224):\n",
    "        image_sel_reshape[i,j,:] = image_sel[:,i,j]      \n",
    "for i in range(3):\n",
    "    plt.subplot(1,3,i+1)\n",
    "    img= image_sel[i,:,:]\n",
    "    plt.imshow(img)\n",
    "    plt.plot()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Configurations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Configurations:\n",
      "BACKBONE                       resnet50\n",
      "BACKBONE_STRIDES               [4, 8, 16, 32, 64]\n",
      "BATCH_SIZE                     8\n",
      "BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]\n",
      "COMPUTE_BACKBONE_SHAPE         None\n",
      "DETECTION_MAX_INSTANCES        100\n",
      "DETECTION_MIN_CONFIDENCE       0.7\n",
      "DETECTION_NMS_THRESHOLD        0.3\n",
      "FPN_CLASSIF_FC_LAYERS_SIZE     1024\n",
      "GPU_COUNT                      1\n",
      "GRADIENT_CLIP_NORM             5.0\n",
      "IMAGES_PER_GPU                 8\n",
      "IMAGE_MAX_DIM                  256\n",
      "IMAGE_META_SIZE                16\n",
      "IMAGE_MIN_DIM                  256\n",
      "IMAGE_MIN_SCALE                0\n",
      "IMAGE_RESIZE_MODE              square\n",
      "IMAGE_SHAPE                    [256 256   3]\n",
      "LEARNING_MOMENTUM              0.9\n",
      "LEARNING_RATE                  0.001\n",
      "LOSS_WEIGHTS                   {'rpn_class_loss': 1.0, 'mrcnn_mask_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0}\n",
      "MASK_POOL_SIZE                 14\n",
      "MASK_SHAPE                     [28, 28]\n",
      "MAX_GT_INSTANCES               100\n",
      "MEAN_PIXEL                     [123.7 116.8 103.9]\n",
      "MINI_MASK_SHAPE                (28, 28)\n",
      "NAME                           chips\n",
      "NUM_CLASSES                    4\n",
      "POOL_SIZE                      7\n",
      "POST_NMS_ROIS_INFERENCE        1000\n",
      "POST_NMS_ROIS_TRAINING         2000\n",
      "ROI_POSITIVE_RATIO             0.16\n",
      "RPN_ANCHOR_RATIOS              [0.5, 1, 2]\n",
      "RPN_ANCHOR_SCALES              (4, 8, 16, 32, 64)\n",
      "RPN_ANCHOR_STRIDE              1\n",
      "RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]\n",
      "RPN_NMS_THRESHOLD              0.7\n",
      "RPN_TRAIN_ANCHORS_PER_IMAGE    256\n",
      "STEPS_PER_EPOCH                100\n",
      "TOP_DOWN_PYRAMID_SIZE          256\n",
      "TRAIN_BN                       False\n",
      "TRAIN_ROIS_PER_IMAGE           16\n",
      "USE_MINI_MASK                  True\n",
      "USE_RPN_ROIS                   True\n",
      "VALIDATION_STEPS               5\n",
      "WEIGHT_DECAY                   0.0001\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'\\nnot apply in network yet\\nROI_POSITIVE_RATIO = 0.33 # before 0.16\\nSTEPS_PER_EPOCH = 200\\n'"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class ChipsConfig(Config):\n",
    "    \"\"\"Configuration for training on the toy shapes dataset.\n",
    "    Derives from the base Config class and overrides values specific\n",
    "    to the toy shapes dataset.\n",
    "    \"\"\"\n",
    "    # Give the configuration a recognizable name\n",
    "    NAME = \"chips\"\n",
    "    \n",
    "    #CH\n",
    "    BACKBONE = \"resnet50\"\n",
    "    MINI_MASK_SHAPE = (28,28)\n",
    "    DETECTION_MAX_INSTANCES = 100\n",
    "    ROI_POSITIVE_RATIO = 0.16\n",
    "    USE_MINI_MASK = True\n",
    "    \n",
    "    # TRY CH\n",
    "    POOL_SIZE = 7\n",
    "    MASK_POOL_SIZE = 14\n",
    "    \n",
    "    # Train on 1 GPU and 8 images per GPU. We can put multiple images on each\n",
    "    # GPU because the images are small. Batch size is 8 (GPUs * images/GPU).\n",
    "    GPU_COUNT = 1 # CH\n",
    "    IMAGES_PER_GPU = 8\n",
    "\n",
    "    # Number of classes (including background)\n",
    "    NUM_CLASSES = 1 + 3  # background + 3 shapes\n",
    "\n",
    "    # Use small images for faster training. Set the limits of the small side\n",
    "    # the large side, and that determines the image shape.\n",
    "    IMAGE_MIN_DIM = 256\n",
    "    IMAGE_MAX_DIM = 256\n",
    "\n",
    "    # Use smaller anchors because our image and objects are small\n",
    "    RPN_ANCHOR_SCALES = (4, 8, 16, 32, 64)  # anchor side in pixels # CH\n",
    "\n",
    "    # Reduce training ROIs per image because the images are small and have\n",
    "    # few objects. Aim to allow ROI sampling to pick 33% positive ROIs.\n",
    "    TRAIN_ROIS_PER_IMAGE = 16 # CH \n",
    "\n",
    "    # Use a small epoch since the data is simple\n",
    "    STEPS_PER_EPOCH = 100\n",
    "    \n",
    "    # use small validation steps since the epoch is small\n",
    "    VALIDATION_STEPS = 5\n",
    "    \n",
    "config = ChipsConfig()\n",
    "config.display()\n",
    "\n",
    "'''\n",
    "not apply in network yet\n",
    "ROI_POSITIVE_RATIO = 0.33 # before 0.16\n",
    "STEPS_PER_EPOCH = 200\n",
    "'''"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Notebook Preferences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_ax(rows=1, cols=1, size=8):\n",
    "    _, ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows))\n",
    "    return ax"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class ChipsDataset(utils.Dataset):\n",
    "    def __init__(self, class_map=None):\n",
    "        #new_append \n",
    "        self.num_null_mask = 0\n",
    "        self.all_flaw_size = []\n",
    "        self.subset = \"\"\n",
    "        #original\n",
    "        self._image_ids = []\n",
    "        self.image_info = []\n",
    "        # Background is always the first class\n",
    "        self.class_info = [{\"source\": \"\", \"id\": 0, \"name\": \"BG\"}]\n",
    "        self.source_class_ids = {}\n",
    "\n",
    "    def load_chips(self, count,subset):\n",
    "        assert subset in [\"train\",\"test\"]\n",
    "        \n",
    "        self.subset = subset\n",
    "        \n",
    "        # Add classes\n",
    "        self.add_class(\"chips\", 1, \"bump\")\n",
    "        self.add_class(\"chips\", 2, \"dent\")\n",
    "        self.add_class(\"chips\", 3, \"dot\")\n",
    "\n",
    "        # Add images\n",
    "        # Images are generated on the fly in load_image().\n",
    "        for i in range(count):\n",
    "            chips = self.mask_prepare(i)\n",
    "            self.add_image(\"chips\", image_id=i, path=None,chips=chips)\n",
    "            \n",
    "    \n",
    "    def mask_prepare(self,i,return_mask=False):\n",
    "        if self.subset == \"train\":\n",
    "            mask_full = train_masks[i,:].reshape((4,224,224))\n",
    "        else :\n",
    "            mask_full = test_masks[i,:].reshape((4,224,224))\n",
    "        \n",
    "        bump,dent,dot = mask_full[1,:,:],mask_full[2,:,:],mask_full[3,:,:]   \n",
    "        flaw_size = [np.sum(bump),np.sum(dent),np.sum(dot)]\n",
    "        names = [\"bump\",\"dent\",\"dot\"]\n",
    "\n",
    "        if not np.sum(flaw_size):\n",
    "            self.num_null_mask += 1\n",
    "            #print(\"==== no flaw for image %d ====\"%i)\n",
    "\n",
    "        if not return_mask:\n",
    "            chips= []\n",
    "            for j in range(3):\n",
    "                if flaw_size[j] >0:\n",
    "                    chips.append(names[j])\n",
    "                    self.all_flaw_size.append(flaw_size[j])\n",
    "            return chips\n",
    "        else:\n",
    "            masks = []\n",
    "            for j in range(3):\n",
    "                if flaw_size[j] >0:\n",
    "                    masks.append(mask_full[j+1,:,:])\n",
    "            if not np.array(masks).shape[0]:\n",
    "                return np.array(masks)\n",
    "            else:\n",
    "                masks = np.array(masks)\n",
    "                masks = masks.reshape((-1,224,224))\n",
    "                masks_reshape = np.zeros((224,224,masks.shape[0]))\n",
    "                #assert masks.shape[1:] in [(224,224)]\n",
    "                for i in range(224):\n",
    "                    for j in range(224):\n",
    "                        masks_reshape[i,j,:] = masks[:,i,j]  \n",
    "                return masks_reshape\n",
    "                      \n",
    "        \n",
    "    def load_image(self,image_id):\n",
    "        info = self.image_info[image_id]\n",
    "        \n",
    "        #print(\"check load_image image_id: \",image_id)\n",
    "        \n",
    "        if self.subset == \"train\":\n",
    "            image_full = train_images[image_id,:].reshape((6,224,224))\n",
    "        else:\n",
    "            image_full = test_images[image_id,:].reshape((6,224,224))\n",
    "            \n",
    "        image_sel = np.array([image_full[0,:,:],image_full[1,:,:],image_full[2,:,:]])\n",
    "        image_sel_reshape = np.zeros((224,224,3))\n",
    "        for i in range(224):\n",
    "            for j in range(224):\n",
    "                image_sel_reshape[i,j,:] = image_sel[:,i,j]  \n",
    "        image = image_sel_reshape\n",
    "        return image\n",
    "\n",
    "    def image_reference(self, image_id):\n",
    "        info = self.image_info[image_id]\n",
    "        if info[\"source\"] == \"chips\":\n",
    "            return info[\"chips\"]\n",
    "        else:\n",
    "            super(self.__class__).image_reference(self, image_id)\n",
    "\n",
    "    def load_mask(self, image_id):\n",
    "        \"\"\"Generate instance masks for shapes of the given image ID.\n",
    "        \"\"\"\n",
    "        info = self.image_info[image_id]\n",
    "        chips = info['chips']\n",
    "        mask = self.mask_prepare(image_id,True)\n",
    "        \n",
    "        class_ids = np.array([self.class_names.index(s) for s in chips])\n",
    "        return mask.astype(np.bool), class_ids.astype(np.int32)\n",
    "\n",
    "    def info_display(self,count):\n",
    "        #flaw_size info\n",
    "        max_flaw_size = np.max(self.all_flaw_size)\n",
    "        min_flaw_size = np.min(self.all_flaw_size)\n",
    "        mean_flaw_size = np.mean(self.all_flaw_size)\n",
    "        \n",
    "        #flaw_kind_info\n",
    "        bump_num,dent_num,dot_num = 0,0,0\n",
    "        for i in range(count):\n",
    "            chips = self.image_info[i]['chips']\n",
    "            if \"bump\" in chips:\n",
    "                bump_num +=1\n",
    "            if \"dent\" in chips:\n",
    "                dent_num +=1\n",
    "            if \"dot\" in chips:\n",
    "                dot_num += 1    \n",
    "                \n",
    "        #display all info\n",
    "        print(\"**** info of %s dataset : ***  \"%self.subset)\n",
    "        print(\"  ratio of null mask images:%d %%\"%(self.num_null_mask/count*100))\n",
    "        print(\"  max flaw size:\",max_flaw_size)\n",
    "        print(\"  min flaw size:\",min_flaw_size)\n",
    "        print(\"  mean flaw size:\",mean_flaw_size)\n",
    "        print(\"  bump ratio:%d %%\"%(bump_num/count*100))\n",
    "        print(\"  dent ratio:%d %%\"%(dent_num/count*100))\n",
    "        print(\"  dot ratio:%d %%\"%(dot_num/count*100))\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "**** info of test dataset : ***  \n",
      "  ratio of null mask images:0 %\n",
      "  max flaw size: 96\n",
      "  min flaw size: 2\n",
      "  mean flaw size: 29.385158254918736\n",
      "  bump ratio:29 %\n",
      "  dent ratio:41 %\n",
      "  dot ratio:29 %\n"
     ]
    }
   ],
   "source": [
    "# Testing dataset\n",
    "dataset_test = ChipsDataset()\n",
    "dataset_test.load_chips(NUM_TEST,\"test\")\n",
    "dataset_test.prepare()\n",
    "dataset_test.info_display(NUM_TEST)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x360 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x360 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x360 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load and display random samples\n",
    "image_ids = np.arange(3)\n",
    "for image_id in image_ids:\n",
    "    image = dataset_test.load_image(image_id)\n",
    "    mask, class_ids = dataset_test.load_mask(image_id)\n",
    "    if len(class_ids)>0:\n",
    "        visualize.display_top_masks(image, mask, class_ids, dataset_test.class_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "**** info of train dataset : ***  \n",
      "  ratio of null mask images:0 %\n",
      "  max flaw size: 102\n",
      "  min flaw size: 2\n",
      "  mean flaw size: 29.65715769880092\n",
      "  bump ratio:28 %\n",
      "  dent ratio:42 %\n",
      "  dot ratio:28 %\n"
     ]
    }
   ],
   "source": [
    "#Traning dataset\n",
    "#cost several mins \n",
    "dataset_train = ChipsDataset()\n",
    "dataset_train.load_chips(NUM_TRAIN,\"train\")\n",
    "dataset_train.prepare()\n",
    "dataset_train.info_display(NUM_TRAIN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x360 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x360 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x360 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load and display random samples\n",
    "image_ids = np.arange(3)\n",
    "for image_id in image_ids:\n",
    "    image = dataset_train.load_image(image_id)\n",
    "    mask, class_ids = dataset_train.load_mask(image_id)\n",
    "    if len(class_ids)>0:\n",
    "        visualize.display_top_masks(image, mask, class_ids, dataset_train.class_names)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ceate Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Create model in training mode\n",
    "import os\n",
    "#os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"1\"\n",
    "model = modellib.MaskRCNN(mode=\"training\", config=config,\n",
    "                          model_dir=MODEL_DIR)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Which weights to start with?\n",
    "init_with = \"last\"  # imagenet, coco, or last\n",
    "\n",
    "if init_with == \"imagenet\":\n",
    "    model.load_weights(model.get_imagenet_weights(), by_name=True)\n",
    "elif init_with == \"coco\":\n",
    "    # Load weights trained on MS COCO, but skip layers that\n",
    "    # are different due to the different number of classes\n",
    "    # See README for instructions to download the COCO weights\n",
    "    model.load_weights(COCO_MODEL_PATH, by_name=True,\n",
    "                       exclude=[\"mrcnn_class_logits\", \"mrcnn_bbox_fc\", \n",
    "                                \"mrcnn_bbox\", \"mrcnn_mask\"])\n",
    "elif init_with == \"last\":\n",
    "    model_path = \"/mnt/sh_flex_storage/malu/venv/CHIPS_MRCNN/logs_new/mask_rcnn_chips_0815.h5\"\n",
    "    # Load the last model you trained and continue training\n",
    "    model.load_weights(model_path, by_name=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training\n",
    "\n",
    "Train in two stages:\n",
    "1. Only the heads. Here we're freezing all the backbone layers and training only the randomly initialized layers (i.e. the ones that we didn't use pre-trained weights from MS COCO). To train only the head layers, pass `layers='heads'` to the `train()` function.\n",
    "\n",
    "2. Fine-tune all layers. For this simple example it's not necessary, but we're including it to show the process. Simply pass `layers=\"all` to train all layers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Starting at epoch 0. LR=0.001\n",
      "\n",
      "Checkpoint Path: /mnt/sh_flex_storage/malu/venv/CHIPS_MRCNN/logs_new/chips20180815T1637/mask_rcnn_chips_{epoch:04d}.h5\n",
      "Selecting layers to train\n",
      "fpn_c5p5               (Conv2D)\n",
      "fpn_c4p4               (Conv2D)\n",
      "fpn_c3p3               (Conv2D)\n",
      "fpn_c2p2               (Conv2D)\n",
      "fpn_p5                 (Conv2D)\n",
      "fpn_p2                 (Conv2D)\n",
      "fpn_p3                 (Conv2D)\n",
      "fpn_p4                 (Conv2D)\n",
      "In model:  rpn_model\n",
      "    rpn_conv_shared        (Conv2D)\n",
      "    rpn_class_raw          (Conv2D)\n",
      "    rpn_bbox_pred          (Conv2D)\n",
      "mrcnn_mask_conv1       (TimeDistributed)\n",
      "mrcnn_mask_bn1         (TimeDistributed)\n",
      "mrcnn_mask_conv2       (TimeDistributed)\n",
      "mrcnn_mask_bn2         (TimeDistributed)\n",
      "mrcnn_class_conv1      (TimeDistributed)\n",
      "mrcnn_class_bn1        (TimeDistributed)\n",
      "mrcnn_mask_conv3       (TimeDistributed)\n",
      "mrcnn_mask_bn3         (TimeDistributed)\n",
      "mrcnn_class_conv2      (TimeDistributed)\n",
      "mrcnn_class_bn2        (TimeDistributed)\n",
      "mrcnn_mask_conv4       (TimeDistributed)\n",
      "mrcnn_mask_bn4         (TimeDistributed)\n",
      "mrcnn_bbox_fc          (TimeDistributed)\n",
      "mrcnn_mask_deconv      (TimeDistributed)\n",
      "mrcnn_class_logits     (TimeDistributed)\n",
      "mrcnn_mask             (TimeDistributed)\n",
      "Epoch 1/100\n",
      "100/100 [==============================] - 443s 4s/step - loss: 0.9242 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.3038 - mrcnn_class_loss: 0.0403 - mrcnn_bbox_loss: 0.2384 - mrcnn_mask_loss: 0.3382 - val_loss: 0.8256 - val_rpn_class_loss: 0.0025 - val_rpn_bbox_loss: 0.2367 - val_mrcnn_class_loss: 0.0304 - val_mrcnn_bbox_loss: 0.2228 - val_mrcnn_mask_loss: 0.3333\n",
      "Epoch 2/100\n",
      "100/100 [==============================] - 33s 326ms/step - loss: 0.9050 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2858 - mrcnn_class_loss: 0.0377 - mrcnn_bbox_loss: 0.2392 - mrcnn_mask_loss: 0.3390 - val_loss: 0.9385 - val_rpn_class_loss: 0.0033 - val_rpn_bbox_loss: 0.3042 - val_mrcnn_class_loss: 0.0588 - val_mrcnn_bbox_loss: 0.2227 - val_mrcnn_mask_loss: 0.3494\n",
      "Epoch 3/100\n",
      "100/100 [==============================] - 58s 582ms/step - loss: 0.9027 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2937 - mrcnn_class_loss: 0.0317 - mrcnn_bbox_loss: 0.2411 - mrcnn_mask_loss: 0.3329 - val_loss: 0.8125 - val_rpn_class_loss: 0.0037 - val_rpn_bbox_loss: 0.2530 - val_mrcnn_class_loss: 0.0342 - val_mrcnn_bbox_loss: 0.1979 - val_mrcnn_mask_loss: 0.3237\n",
      "Epoch 4/100\n",
      "100/100 [==============================] - 90s 904ms/step - loss: 0.9013 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.2907 - mrcnn_class_loss: 0.0416 - mrcnn_bbox_loss: 0.2347 - mrcnn_mask_loss: 0.3308 - val_loss: 0.9358 - val_rpn_class_loss: 0.0036 - val_rpn_bbox_loss: 0.3565 - val_mrcnn_class_loss: 0.0542 - val_mrcnn_bbox_loss: 0.2107 - val_mrcnn_mask_loss: 0.3108\n",
      "Epoch 5/100\n",
      "100/100 [==============================] - 89s 895ms/step - loss: 0.8907 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.2900 - mrcnn_class_loss: 0.0361 - mrcnn_bbox_loss: 0.2322 - mrcnn_mask_loss: 0.3289 - val_loss: 0.9463 - val_rpn_class_loss: 0.0038 - val_rpn_bbox_loss: 0.3244 - val_mrcnn_class_loss: 0.0300 - val_mrcnn_bbox_loss: 0.2422 - val_mrcnn_mask_loss: 0.3458\n",
      "Epoch 6/100\n",
      "100/100 [==============================] - 89s 887ms/step - loss: 0.8983 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2908 - mrcnn_class_loss: 0.0367 - mrcnn_bbox_loss: 0.2377 - mrcnn_mask_loss: 0.3299 - val_loss: 0.7665 - val_rpn_class_loss: 0.0036 - val_rpn_bbox_loss: 0.2711 - val_mrcnn_class_loss: 0.0258 - val_mrcnn_bbox_loss: 0.1724 - val_mrcnn_mask_loss: 0.2936\n",
      "Epoch 7/100\n",
      "100/100 [==============================] - 88s 876ms/step - loss: 0.8980 - rpn_class_loss: 0.0036 - rpn_bbox_loss: 0.2925 - mrcnn_class_loss: 0.0424 - mrcnn_bbox_loss: 0.2339 - mrcnn_mask_loss: 0.3257 - val_loss: 0.8887 - val_rpn_class_loss: 0.0037 - val_rpn_bbox_loss: 0.2818 - val_mrcnn_class_loss: 0.0370 - val_mrcnn_bbox_loss: 0.2153 - val_mrcnn_mask_loss: 0.3508\n",
      "Epoch 8/100\n",
      "100/100 [==============================] - 90s 898ms/step - loss: 0.8618 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2763 - mrcnn_class_loss: 0.0377 - mrcnn_bbox_loss: 0.2231 - mrcnn_mask_loss: 0.3216 - val_loss: 0.7568 - val_rpn_class_loss: 0.0029 - val_rpn_bbox_loss: 0.2544 - val_mrcnn_class_loss: 0.0158 - val_mrcnn_bbox_loss: 0.1848 - val_mrcnn_mask_loss: 0.2989\n",
      "Epoch 9/100\n",
      "100/100 [==============================] - 88s 881ms/step - loss: 0.9229 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.3160 - mrcnn_class_loss: 0.0375 - mrcnn_bbox_loss: 0.2350 - mrcnn_mask_loss: 0.3311 - val_loss: 0.8640 - val_rpn_class_loss: 0.0032 - val_rpn_bbox_loss: 0.2563 - val_mrcnn_class_loss: 0.0256 - val_mrcnn_bbox_loss: 0.2600 - val_mrcnn_mask_loss: 0.3190\n",
      "Epoch 10/100\n",
      "100/100 [==============================] - 89s 894ms/step - loss: 0.9259 - rpn_class_loss: 0.0037 - rpn_bbox_loss: 0.2975 - mrcnn_class_loss: 0.0418 - mrcnn_bbox_loss: 0.2441 - mrcnn_mask_loss: 0.3389 - val_loss: 0.8296 - val_rpn_class_loss: 0.0024 - val_rpn_bbox_loss: 0.2635 - val_mrcnn_class_loss: 0.0280 - val_mrcnn_bbox_loss: 0.2348 - val_mrcnn_mask_loss: 0.3008\n",
      "Epoch 11/100\n",
      "100/100 [==============================] - 91s 906ms/step - loss: 0.8994 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.3003 - mrcnn_class_loss: 0.0392 - mrcnn_bbox_loss: 0.2281 - mrcnn_mask_loss: 0.3284 - val_loss: 0.9683 - val_rpn_class_loss: 0.0029 - val_rpn_bbox_loss: 0.2866 - val_mrcnn_class_loss: 0.0426 - val_mrcnn_bbox_loss: 0.2697 - val_mrcnn_mask_loss: 0.3665\n",
      "Epoch 12/100\n",
      "100/100 [==============================] - 88s 877ms/step - loss: 0.9028 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.3016 - mrcnn_class_loss: 0.0317 - mrcnn_bbox_loss: 0.2324 - mrcnn_mask_loss: 0.3336 - val_loss: 0.8954 - val_rpn_class_loss: 0.0032 - val_rpn_bbox_loss: 0.2456 - val_mrcnn_class_loss: 0.0243 - val_mrcnn_bbox_loss: 0.2669 - val_mrcnn_mask_loss: 0.3555\n",
      "Epoch 13/100\n",
      "100/100 [==============================] - 88s 875ms/step - loss: 0.8817 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.2827 - mrcnn_class_loss: 0.0370 - mrcnn_bbox_loss: 0.2344 - mrcnn_mask_loss: 0.3242 - val_loss: 0.8534 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.2514 - val_mrcnn_class_loss: 0.0340 - val_mrcnn_bbox_loss: 0.2292 - val_mrcnn_mask_loss: 0.3357\n",
      "Epoch 14/100\n",
      "100/100 [==============================] - 90s 899ms/step - loss: 0.9052 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2992 - mrcnn_class_loss: 0.0348 - mrcnn_bbox_loss: 0.2348 - mrcnn_mask_loss: 0.3331 - val_loss: 0.9132 - val_rpn_class_loss: 0.0028 - val_rpn_bbox_loss: 0.3096 - val_mrcnn_class_loss: 0.0202 - val_mrcnn_bbox_loss: 0.2451 - val_mrcnn_mask_loss: 0.3355\n",
      "Epoch 15/100\n",
      "100/100 [==============================] - 89s 889ms/step - loss: 0.8731 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2736 - mrcnn_class_loss: 0.0419 - mrcnn_bbox_loss: 0.2273 - mrcnn_mask_loss: 0.3271 - val_loss: 0.9628 - val_rpn_class_loss: 0.0033 - val_rpn_bbox_loss: 0.3383 - val_mrcnn_class_loss: 0.0568 - val_mrcnn_bbox_loss: 0.2297 - val_mrcnn_mask_loss: 0.3346\n",
      "Epoch 16/100\n",
      "100/100 [==============================] - 90s 900ms/step - loss: 0.9494 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.3285 - mrcnn_class_loss: 0.0361 - mrcnn_bbox_loss: 0.2440 - mrcnn_mask_loss: 0.3373 - val_loss: 0.7883 - val_rpn_class_loss: 0.0024 - val_rpn_bbox_loss: 0.2279 - val_mrcnn_class_loss: 0.0265 - val_mrcnn_bbox_loss: 0.2028 - val_mrcnn_mask_loss: 0.3287\n",
      "Epoch 17/100\n",
      "100/100 [==============================] - 88s 884ms/step - loss: 0.8906 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2946 - mrcnn_class_loss: 0.0325 - mrcnn_bbox_loss: 0.2282 - mrcnn_mask_loss: 0.3321 - val_loss: 0.8765 - val_rpn_class_loss: 0.0034 - val_rpn_bbox_loss: 0.2374 - val_mrcnn_class_loss: 0.0428 - val_mrcnn_bbox_loss: 0.2462 - val_mrcnn_mask_loss: 0.3468\n",
      "Epoch 18/100\n",
      "100/100 [==============================] - 89s 891ms/step - loss: 0.9196 - rpn_class_loss: 0.0036 - rpn_bbox_loss: 0.3147 - mrcnn_class_loss: 0.0344 - mrcnn_bbox_loss: 0.2395 - mrcnn_mask_loss: 0.3274 - val_loss: 0.9121 - val_rpn_class_loss: 0.0045 - val_rpn_bbox_loss: 0.2639 - val_mrcnn_class_loss: 0.0337 - val_mrcnn_bbox_loss: 0.2609 - val_mrcnn_mask_loss: 0.3490\n",
      "Epoch 19/100\n",
      "100/100 [==============================] - 90s 898ms/step - loss: 0.9036 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.2991 - mrcnn_class_loss: 0.0298 - mrcnn_bbox_loss: 0.2403 - mrcnn_mask_loss: 0.3310 - val_loss: 0.7976 - val_rpn_class_loss: 0.0025 - val_rpn_bbox_loss: 0.1871 - val_mrcnn_class_loss: 0.0430 - val_mrcnn_bbox_loss: 0.2221 - val_mrcnn_mask_loss: 0.3429\n",
      "Epoch 20/100\n",
      "100/100 [==============================] - 88s 885ms/step - loss: 0.8982 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.3010 - mrcnn_class_loss: 0.0340 - mrcnn_bbox_loss: 0.2347 - mrcnn_mask_loss: 0.3250 - val_loss: 1.0221 - val_rpn_class_loss: 0.0037 - val_rpn_bbox_loss: 0.3194 - val_mrcnn_class_loss: 0.0314 - val_mrcnn_bbox_loss: 0.3170 - val_mrcnn_mask_loss: 0.3506\n",
      "Epoch 21/100\n",
      "100/100 [==============================] - 89s 887ms/step - loss: 0.9353 - rpn_class_loss: 0.0038 - rpn_bbox_loss: 0.3214 - mrcnn_class_loss: 0.0349 - mrcnn_bbox_loss: 0.2388 - mrcnn_mask_loss: 0.3364 - val_loss: 0.8061 - val_rpn_class_loss: 0.0035 - val_rpn_bbox_loss: 0.2421 - val_mrcnn_class_loss: 0.0477 - val_mrcnn_bbox_loss: 0.2057 - val_mrcnn_mask_loss: 0.3071\n",
      "Epoch 22/100\n",
      "100/100 [==============================] - 91s 909ms/step - loss: 0.8775 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2877 - mrcnn_class_loss: 0.0348 - mrcnn_bbox_loss: 0.2240 - mrcnn_mask_loss: 0.3277 - val_loss: 0.8985 - val_rpn_class_loss: 0.0030 - val_rpn_bbox_loss: 0.2792 - val_mrcnn_class_loss: 0.0359 - val_mrcnn_bbox_loss: 0.2382 - val_mrcnn_mask_loss: 0.3423\n",
      "Epoch 23/100\n",
      "100/100 [==============================] - 89s 890ms/step - loss: 0.8856 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.2833 - mrcnn_class_loss: 0.0325 - mrcnn_bbox_loss: 0.2375 - mrcnn_mask_loss: 0.3289 - val_loss: 0.9322 - val_rpn_class_loss: 0.0043 - val_rpn_bbox_loss: 0.2970 - val_mrcnn_class_loss: 0.0553 - val_mrcnn_bbox_loss: 0.2505 - val_mrcnn_mask_loss: 0.3251\n",
      "Epoch 24/100\n",
      "100/100 [==============================] - 90s 901ms/step - loss: 0.8942 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2948 - mrcnn_class_loss: 0.0358 - mrcnn_bbox_loss: 0.2334 - mrcnn_mask_loss: 0.3269 - val_loss: 0.7064 - val_rpn_class_loss: 0.0039 - val_rpn_bbox_loss: 0.1894 - val_mrcnn_class_loss: 0.0279 - val_mrcnn_bbox_loss: 0.1799 - val_mrcnn_mask_loss: 0.3052\n",
      "Epoch 25/100\n",
      "100/100 [==============================] - 89s 890ms/step - loss: 0.9223 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.3083 - mrcnn_class_loss: 0.0393 - mrcnn_bbox_loss: 0.2370 - mrcnn_mask_loss: 0.3345 - val_loss: 0.8831 - val_rpn_class_loss: 0.0037 - val_rpn_bbox_loss: 0.2606 - val_mrcnn_class_loss: 0.0155 - val_mrcnn_bbox_loss: 0.2472 - val_mrcnn_mask_loss: 0.3560\n",
      "Epoch 26/100\n",
      "100/100 [==============================] - 90s 899ms/step - loss: 0.8721 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2955 - mrcnn_class_loss: 0.0326 - mrcnn_bbox_loss: 0.2174 - mrcnn_mask_loss: 0.3233 - val_loss: 0.8019 - val_rpn_class_loss: 0.0051 - val_rpn_bbox_loss: 0.2369 - val_mrcnn_class_loss: 0.0612 - val_mrcnn_bbox_loss: 0.2033 - val_mrcnn_mask_loss: 0.2954\n",
      "Epoch 27/100\n",
      "100/100 [==============================] - 88s 876ms/step - loss: 0.8952 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2963 - mrcnn_class_loss: 0.0345 - mrcnn_bbox_loss: 0.2348 - mrcnn_mask_loss: 0.3266 - val_loss: 0.8834 - val_rpn_class_loss: 0.0043 - val_rpn_bbox_loss: 0.2883 - val_mrcnn_class_loss: 0.0345 - val_mrcnn_bbox_loss: 0.2289 - val_mrcnn_mask_loss: 0.3275\n",
      "Epoch 28/100\n",
      "100/100 [==============================] - 89s 888ms/step - loss: 0.8995 - rpn_class_loss: 0.0037 - rpn_bbox_loss: 0.3022 - mrcnn_class_loss: 0.0379 - mrcnn_bbox_loss: 0.2255 - mrcnn_mask_loss: 0.3303 - val_loss: 0.7816 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.2242 - val_mrcnn_class_loss: 0.0240 - val_mrcnn_bbox_loss: 0.2020 - val_mrcnn_mask_loss: 0.3282\n",
      "Epoch 29/100\n",
      "100/100 [==============================] - 90s 895ms/step - loss: 0.8899 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.2965 - mrcnn_class_loss: 0.0382 - mrcnn_bbox_loss: 0.2265 - mrcnn_mask_loss: 0.3252 - val_loss: 0.8861 - val_rpn_class_loss: 0.0039 - val_rpn_bbox_loss: 0.2796 - val_mrcnn_class_loss: 0.0445 - val_mrcnn_bbox_loss: 0.2385 - val_mrcnn_mask_loss: 0.3195\n",
      "Epoch 30/100\n",
      "100/100 [==============================] - 89s 885ms/step - loss: 0.8517 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.2775 - mrcnn_class_loss: 0.0356 - mrcnn_bbox_loss: 0.2155 - mrcnn_mask_loss: 0.3196 - val_loss: 0.8695 - val_rpn_class_loss: 0.0041 - val_rpn_bbox_loss: 0.3038 - val_mrcnn_class_loss: 0.0505 - val_mrcnn_bbox_loss: 0.1949 - val_mrcnn_mask_loss: 0.3161\n",
      "Epoch 31/100\n",
      "100/100 [==============================] - 88s 879ms/step - loss: 0.8648 - rpn_class_loss: 0.0037 - rpn_bbox_loss: 0.2682 - mrcnn_class_loss: 0.0422 - mrcnn_bbox_loss: 0.2226 - mrcnn_mask_loss: 0.3281 - val_loss: 0.8936 - val_rpn_class_loss: 0.0023 - val_rpn_bbox_loss: 0.3043 - val_mrcnn_class_loss: 0.0294 - val_mrcnn_bbox_loss: 0.2148 - val_mrcnn_mask_loss: 0.3428\n",
      "Epoch 32/100\n",
      "100/100 [==============================] - 90s 896ms/step - loss: 0.8597 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2658 - mrcnn_class_loss: 0.0310 - mrcnn_bbox_loss: 0.2266 - mrcnn_mask_loss: 0.3330 - val_loss: 0.7314 - val_rpn_class_loss: 0.0029 - val_rpn_bbox_loss: 0.2035 - val_mrcnn_class_loss: 0.0235 - val_mrcnn_bbox_loss: 0.1920 - val_mrcnn_mask_loss: 0.3095\n",
      "Epoch 33/100\n",
      "100/100 [==============================] - 88s 880ms/step - loss: 0.8612 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2793 - mrcnn_class_loss: 0.0323 - mrcnn_bbox_loss: 0.2186 - mrcnn_mask_loss: 0.3278 - val_loss: 0.8405 - val_rpn_class_loss: 0.0032 - val_rpn_bbox_loss: 0.2701 - val_mrcnn_class_loss: 0.0371 - val_mrcnn_bbox_loss: 0.2194 - val_mrcnn_mask_loss: 0.3107\n",
      "Epoch 34/100\n",
      "100/100 [==============================] - 87s 872ms/step - loss: 0.8473 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2751 - mrcnn_class_loss: 0.0331 - mrcnn_bbox_loss: 0.2150 - mrcnn_mask_loss: 0.3208 - val_loss: 0.9452 - val_rpn_class_loss: 0.0045 - val_rpn_bbox_loss: 0.2796 - val_mrcnn_class_loss: 0.0570 - val_mrcnn_bbox_loss: 0.2484 - val_mrcnn_mask_loss: 0.3556\n",
      "Epoch 35/100\n",
      "100/100 [==============================] - 89s 886ms/step - loss: 0.8376 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2606 - mrcnn_class_loss: 0.0349 - mrcnn_bbox_loss: 0.2184 - mrcnn_mask_loss: 0.3203 - val_loss: 0.8814 - val_rpn_class_loss: 0.0027 - val_rpn_bbox_loss: 0.2559 - val_mrcnn_class_loss: 0.0392 - val_mrcnn_bbox_loss: 0.2360 - val_mrcnn_mask_loss: 0.3475\n",
      "Epoch 36/100\n",
      "100/100 [==============================] - 90s 900ms/step - loss: 0.8322 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2601 - mrcnn_class_loss: 0.0351 - mrcnn_bbox_loss: 0.2089 - mrcnn_mask_loss: 0.3249 - val_loss: 0.7915 - val_rpn_class_loss: 0.0032 - val_rpn_bbox_loss: 0.2217 - val_mrcnn_class_loss: 0.0376 - val_mrcnn_bbox_loss: 0.2133 - val_mrcnn_mask_loss: 0.3156\n",
      "Epoch 37/100\n",
      "100/100 [==============================] - 90s 895ms/step - loss: 0.8532 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2809 - mrcnn_class_loss: 0.0309 - mrcnn_bbox_loss: 0.2156 - mrcnn_mask_loss: 0.3227 - val_loss: 0.8404 - val_rpn_class_loss: 0.0043 - val_rpn_bbox_loss: 0.2603 - val_mrcnn_class_loss: 0.0466 - val_mrcnn_bbox_loss: 0.2115 - val_mrcnn_mask_loss: 0.3176\n",
      "Epoch 38/100\n",
      "100/100 [==============================] - 89s 885ms/step - loss: 0.9055 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2970 - mrcnn_class_loss: 0.0357 - mrcnn_bbox_loss: 0.2339 - mrcnn_mask_loss: 0.3356 - val_loss: 0.8489 - val_rpn_class_loss: 0.0027 - val_rpn_bbox_loss: 0.2891 - val_mrcnn_class_loss: 0.0291 - val_mrcnn_bbox_loss: 0.2126 - val_mrcnn_mask_loss: 0.3154\n",
      "Epoch 39/100\n",
      "100/100 [==============================] - 90s 901ms/step - loss: 0.8801 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2906 - mrcnn_class_loss: 0.0393 - mrcnn_bbox_loss: 0.2262 - mrcnn_mask_loss: 0.3207 - val_loss: 0.7663 - val_rpn_class_loss: 0.0027 - val_rpn_bbox_loss: 0.2169 - val_mrcnn_class_loss: 0.0198 - val_mrcnn_bbox_loss: 0.1887 - val_mrcnn_mask_loss: 0.3382\n",
      "Epoch 40/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100/100 [==============================] - 91s 906ms/step - loss: 0.8653 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2854 - mrcnn_class_loss: 0.0334 - mrcnn_bbox_loss: 0.2179 - mrcnn_mask_loss: 0.3255 - val_loss: 0.8024 - val_rpn_class_loss: 0.0037 - val_rpn_bbox_loss: 0.2694 - val_mrcnn_class_loss: 0.0201 - val_mrcnn_bbox_loss: 0.1883 - val_mrcnn_mask_loss: 0.3208\n",
      "Epoch 41/100\n",
      "100/100 [==============================] - 89s 890ms/step - loss: 0.8681 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2828 - mrcnn_class_loss: 0.0333 - mrcnn_bbox_loss: 0.2253 - mrcnn_mask_loss: 0.3233 - val_loss: 0.8229 - val_rpn_class_loss: 0.0049 - val_rpn_bbox_loss: 0.2894 - val_mrcnn_class_loss: 0.0269 - val_mrcnn_bbox_loss: 0.1913 - val_mrcnn_mask_loss: 0.3103\n",
      "Epoch 42/100\n",
      "100/100 [==============================] - 88s 881ms/step - loss: 0.8354 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2663 - mrcnn_class_loss: 0.0261 - mrcnn_bbox_loss: 0.2186 - mrcnn_mask_loss: 0.3213 - val_loss: 0.8006 - val_rpn_class_loss: 0.0036 - val_rpn_bbox_loss: 0.2409 - val_mrcnn_class_loss: 0.0117 - val_mrcnn_bbox_loss: 0.2158 - val_mrcnn_mask_loss: 0.3286\n",
      "Epoch 43/100\n",
      "100/100 [==============================] - 88s 882ms/step - loss: 0.8593 - rpn_class_loss: 0.0037 - rpn_bbox_loss: 0.2812 - mrcnn_class_loss: 0.0319 - mrcnn_bbox_loss: 0.2222 - mrcnn_mask_loss: 0.3204 - val_loss: 0.7337 - val_rpn_class_loss: 0.0028 - val_rpn_bbox_loss: 0.2015 - val_mrcnn_class_loss: 0.0183 - val_mrcnn_bbox_loss: 0.1945 - val_mrcnn_mask_loss: 0.3166\n",
      "Epoch 44/100\n",
      "100/100 [==============================] - 89s 891ms/step - loss: 0.8607 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2705 - mrcnn_class_loss: 0.0358 - mrcnn_bbox_loss: 0.2252 - mrcnn_mask_loss: 0.3259 - val_loss: 0.7323 - val_rpn_class_loss: 0.0027 - val_rpn_bbox_loss: 0.2130 - val_mrcnn_class_loss: 0.0131 - val_mrcnn_bbox_loss: 0.1926 - val_mrcnn_mask_loss: 0.3109\n",
      "Epoch 45/100\n",
      "100/100 [==============================] - 87s 871ms/step - loss: 0.8944 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.2907 - mrcnn_class_loss: 0.0375 - mrcnn_bbox_loss: 0.2311 - mrcnn_mask_loss: 0.3315 - val_loss: 0.8184 - val_rpn_class_loss: 0.0037 - val_rpn_bbox_loss: 0.2707 - val_mrcnn_class_loss: 0.0275 - val_mrcnn_bbox_loss: 0.1878 - val_mrcnn_mask_loss: 0.3286\n",
      "Epoch 46/100\n",
      "100/100 [==============================] - 92s 918ms/step - loss: 0.8748 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2982 - mrcnn_class_loss: 0.0334 - mrcnn_bbox_loss: 0.2185 - mrcnn_mask_loss: 0.3212 - val_loss: 0.7702 - val_rpn_class_loss: 0.0026 - val_rpn_bbox_loss: 0.2575 - val_mrcnn_class_loss: 0.0111 - val_mrcnn_bbox_loss: 0.1816 - val_mrcnn_mask_loss: 0.3175\n",
      "Epoch 47/100\n",
      "100/100 [==============================] - 88s 876ms/step - loss: 0.8593 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2861 - mrcnn_class_loss: 0.0327 - mrcnn_bbox_loss: 0.2204 - mrcnn_mask_loss: 0.3171 - val_loss: 0.7604 - val_rpn_class_loss: 0.0029 - val_rpn_bbox_loss: 0.2370 - val_mrcnn_class_loss: 0.0261 - val_mrcnn_bbox_loss: 0.1999 - val_mrcnn_mask_loss: 0.2946\n",
      "Epoch 48/100\n",
      "100/100 [==============================] - 88s 879ms/step - loss: 0.8680 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2831 - mrcnn_class_loss: 0.0306 - mrcnn_bbox_loss: 0.2253 - mrcnn_mask_loss: 0.3258 - val_loss: 0.7656 - val_rpn_class_loss: 0.0034 - val_rpn_bbox_loss: 0.2416 - val_mrcnn_class_loss: 0.0288 - val_mrcnn_bbox_loss: 0.1795 - val_mrcnn_mask_loss: 0.3123\n",
      "Epoch 49/100\n",
      "100/100 [==============================] - 87s 871ms/step - loss: 0.8648 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2842 - mrcnn_class_loss: 0.0355 - mrcnn_bbox_loss: 0.2207 - mrcnn_mask_loss: 0.3213 - val_loss: 0.8034 - val_rpn_class_loss: 0.0027 - val_rpn_bbox_loss: 0.2583 - val_mrcnn_class_loss: 0.0311 - val_mrcnn_bbox_loss: 0.1905 - val_mrcnn_mask_loss: 0.3207\n",
      "Epoch 50/100\n",
      "100/100 [==============================] - 90s 900ms/step - loss: 0.8774 - rpn_class_loss: 0.0037 - rpn_bbox_loss: 0.2810 - mrcnn_class_loss: 0.0342 - mrcnn_bbox_loss: 0.2277 - mrcnn_mask_loss: 0.3307 - val_loss: 0.8389 - val_rpn_class_loss: 0.0023 - val_rpn_bbox_loss: 0.2441 - val_mrcnn_class_loss: 0.0288 - val_mrcnn_bbox_loss: 0.2313 - val_mrcnn_mask_loss: 0.3324\n",
      "Epoch 51/100\n",
      "100/100 [==============================] - 88s 880ms/step - loss: 0.8827 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.2921 - mrcnn_class_loss: 0.0338 - mrcnn_bbox_loss: 0.2236 - mrcnn_mask_loss: 0.3297 - val_loss: 0.8574 - val_rpn_class_loss: 0.0045 - val_rpn_bbox_loss: 0.3152 - val_mrcnn_class_loss: 0.0093 - val_mrcnn_bbox_loss: 0.2029 - val_mrcnn_mask_loss: 0.3255\n",
      "Epoch 52/100\n",
      "100/100 [==============================] - 89s 889ms/step - loss: 0.8774 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2759 - mrcnn_class_loss: 0.0352 - mrcnn_bbox_loss: 0.2296 - mrcnn_mask_loss: 0.3335 - val_loss: 0.7503 - val_rpn_class_loss: 0.0024 - val_rpn_bbox_loss: 0.1890 - val_mrcnn_class_loss: 0.0175 - val_mrcnn_bbox_loss: 0.2104 - val_mrcnn_mask_loss: 0.3309\n",
      "Epoch 53/100\n",
      "100/100 [==============================] - 88s 881ms/step - loss: 0.8722 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2801 - mrcnn_class_loss: 0.0401 - mrcnn_bbox_loss: 0.2233 - mrcnn_mask_loss: 0.3253 - val_loss: 0.7930 - val_rpn_class_loss: 0.0034 - val_rpn_bbox_loss: 0.2170 - val_mrcnn_class_loss: 0.0150 - val_mrcnn_bbox_loss: 0.2393 - val_mrcnn_mask_loss: 0.3183\n",
      "Epoch 54/100\n",
      "100/100 [==============================] - 89s 892ms/step - loss: 0.9037 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2998 - mrcnn_class_loss: 0.0382 - mrcnn_bbox_loss: 0.2352 - mrcnn_mask_loss: 0.3270 - val_loss: 0.8734 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.2620 - val_mrcnn_class_loss: 0.0486 - val_mrcnn_bbox_loss: 0.2507 - val_mrcnn_mask_loss: 0.3089\n",
      "Epoch 55/100\n",
      "100/100 [==============================] - 89s 895ms/step - loss: 0.8793 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.2900 - mrcnn_class_loss: 0.0381 - mrcnn_bbox_loss: 0.2207 - mrcnn_mask_loss: 0.3270 - val_loss: 0.9248 - val_rpn_class_loss: 0.0022 - val_rpn_bbox_loss: 0.3251 - val_mrcnn_class_loss: 0.0349 - val_mrcnn_bbox_loss: 0.2340 - val_mrcnn_mask_loss: 0.3286\n",
      "Epoch 56/100\n",
      "100/100 [==============================] - 87s 872ms/step - loss: 0.8669 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2897 - mrcnn_class_loss: 0.0339 - mrcnn_bbox_loss: 0.2168 - mrcnn_mask_loss: 0.3232 - val_loss: 0.8146 - val_rpn_class_loss: 0.0032 - val_rpn_bbox_loss: 0.2558 - val_mrcnn_class_loss: 0.0321 - val_mrcnn_bbox_loss: 0.2068 - val_mrcnn_mask_loss: 0.3168\n",
      "Epoch 57/100\n",
      "100/100 [==============================] - 89s 887ms/step - loss: 0.8703 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2828 - mrcnn_class_loss: 0.0320 - mrcnn_bbox_loss: 0.2271 - mrcnn_mask_loss: 0.3255 - val_loss: 0.7897 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.2615 - val_mrcnn_class_loss: 0.0180 - val_mrcnn_bbox_loss: 0.2118 - val_mrcnn_mask_loss: 0.2952\n",
      "Epoch 58/100\n",
      "100/100 [==============================] - 89s 893ms/step - loss: 0.8662 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.2862 - mrcnn_class_loss: 0.0369 - mrcnn_bbox_loss: 0.2180 - mrcnn_mask_loss: 0.3216 - val_loss: 0.7481 - val_rpn_class_loss: 0.0033 - val_rpn_bbox_loss: 0.2440 - val_mrcnn_class_loss: 0.0198 - val_mrcnn_bbox_loss: 0.1685 - val_mrcnn_mask_loss: 0.3125\n",
      "Epoch 59/100\n",
      "100/100 [==============================] - 89s 887ms/step - loss: 0.8273 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2631 - mrcnn_class_loss: 0.0349 - mrcnn_bbox_loss: 0.2060 - mrcnn_mask_loss: 0.3199 - val_loss: 0.7656 - val_rpn_class_loss: 0.0037 - val_rpn_bbox_loss: 0.2175 - val_mrcnn_class_loss: 0.0289 - val_mrcnn_bbox_loss: 0.1968 - val_mrcnn_mask_loss: 0.3187\n",
      "Epoch 60/100\n",
      "100/100 [==============================] - 89s 887ms/step - loss: 0.8212 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2517 - mrcnn_class_loss: 0.0329 - mrcnn_bbox_loss: 0.2122 - mrcnn_mask_loss: 0.3213 - val_loss: 0.8024 - val_rpn_class_loss: 0.0032 - val_rpn_bbox_loss: 0.2446 - val_mrcnn_class_loss: 0.0323 - val_mrcnn_bbox_loss: 0.2143 - val_mrcnn_mask_loss: 0.3079\n",
      "Epoch 61/100\n",
      "100/100 [==============================] - 89s 892ms/step - loss: 0.8642 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2795 - mrcnn_class_loss: 0.0342 - mrcnn_bbox_loss: 0.2233 - mrcnn_mask_loss: 0.3241 - val_loss: 0.7592 - val_rpn_class_loss: 0.0027 - val_rpn_bbox_loss: 0.2240 - val_mrcnn_class_loss: 0.0230 - val_mrcnn_bbox_loss: 0.1915 - val_mrcnn_mask_loss: 0.3179\n",
      "Epoch 62/100\n",
      "100/100 [==============================] - 88s 885ms/step - loss: 0.8093 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2537 - mrcnn_class_loss: 0.0288 - mrcnn_bbox_loss: 0.2012 - mrcnn_mask_loss: 0.3226 - val_loss: 0.7975 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.2402 - val_mrcnn_class_loss: 0.0372 - val_mrcnn_bbox_loss: 0.1976 - val_mrcnn_mask_loss: 0.3193\n",
      "Epoch 63/100\n",
      "100/100 [==============================] - 91s 906ms/step - loss: 0.8543 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2654 - mrcnn_class_loss: 0.0355 - mrcnn_bbox_loss: 0.2238 - mrcnn_mask_loss: 0.3263 - val_loss: 0.8294 - val_rpn_class_loss: 0.0034 - val_rpn_bbox_loss: 0.2826 - val_mrcnn_class_loss: 0.0287 - val_mrcnn_bbox_loss: 0.1885 - val_mrcnn_mask_loss: 0.3262\n",
      "Epoch 64/100\n",
      "100/100 [==============================] - 89s 885ms/step - loss: 0.8090 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2468 - mrcnn_class_loss: 0.0328 - mrcnn_bbox_loss: 0.2077 - mrcnn_mask_loss: 0.3184 - val_loss: 0.6939 - val_rpn_class_loss: 0.0039 - val_rpn_bbox_loss: 0.1778 - val_mrcnn_class_loss: 0.0366 - val_mrcnn_bbox_loss: 0.1732 - val_mrcnn_mask_loss: 0.3025\n",
      "Epoch 65/100\n",
      "100/100 [==============================] - 90s 896ms/step - loss: 0.8459 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2661 - mrcnn_class_loss: 0.0354 - mrcnn_bbox_loss: 0.2170 - mrcnn_mask_loss: 0.3239 - val_loss: 0.8001 - val_rpn_class_loss: 0.0040 - val_rpn_bbox_loss: 0.2728 - val_mrcnn_class_loss: 0.0443 - val_mrcnn_bbox_loss: 0.1779 - val_mrcnn_mask_loss: 0.3010\n",
      "Epoch 66/100\n",
      "100/100 [==============================] - 88s 878ms/step - loss: 0.8160 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2606 - mrcnn_class_loss: 0.0322 - mrcnn_bbox_loss: 0.2033 - mrcnn_mask_loss: 0.3167 - val_loss: 0.8544 - val_rpn_class_loss: 0.0041 - val_rpn_bbox_loss: 0.3018 - val_mrcnn_class_loss: 0.0303 - val_mrcnn_bbox_loss: 0.2070 - val_mrcnn_mask_loss: 0.3112\n",
      "Epoch 67/100\n",
      "100/100 [==============================] - 90s 900ms/step - loss: 0.8474 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2752 - mrcnn_class_loss: 0.0344 - mrcnn_bbox_loss: 0.2127 - mrcnn_mask_loss: 0.3217 - val_loss: 0.8531 - val_rpn_class_loss: 0.0036 - val_rpn_bbox_loss: 0.2692 - val_mrcnn_class_loss: 0.0271 - val_mrcnn_bbox_loss: 0.2229 - val_mrcnn_mask_loss: 0.3302\n",
      "Epoch 68/100\n",
      "100/100 [==============================] - 90s 905ms/step - loss: 0.8386 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2652 - mrcnn_class_loss: 0.0348 - mrcnn_bbox_loss: 0.2152 - mrcnn_mask_loss: 0.3201 - val_loss: 0.7294 - val_rpn_class_loss: 0.0020 - val_rpn_bbox_loss: 0.2214 - val_mrcnn_class_loss: 0.0228 - val_mrcnn_bbox_loss: 0.1813 - val_mrcnn_mask_loss: 0.3020\n",
      "Epoch 69/100\n",
      "100/100 [==============================] - 90s 896ms/step - loss: 0.8056 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2471 - mrcnn_class_loss: 0.0306 - mrcnn_bbox_loss: 0.2086 - mrcnn_mask_loss: 0.3164 - val_loss: 0.7609 - val_rpn_class_loss: 0.0028 - val_rpn_bbox_loss: 0.2341 - val_mrcnn_class_loss: 0.0315 - val_mrcnn_bbox_loss: 0.1738 - val_mrcnn_mask_loss: 0.3186\n",
      "Epoch 70/100\n",
      "100/100 [==============================] - 89s 885ms/step - loss: 0.8079 - rpn_class_loss: 0.0028 - rpn_bbox_loss: 0.2507 - mrcnn_class_loss: 0.0307 - mrcnn_bbox_loss: 0.2078 - mrcnn_mask_loss: 0.3159 - val_loss: 0.8759 - val_rpn_class_loss: 0.0029 - val_rpn_bbox_loss: 0.3288 - val_mrcnn_class_loss: 0.0594 - val_mrcnn_bbox_loss: 0.1977 - val_mrcnn_mask_loss: 0.2872\n",
      "Epoch 71/100\n",
      "100/100 [==============================] - 89s 888ms/step - loss: 0.8480 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2768 - mrcnn_class_loss: 0.0319 - mrcnn_bbox_loss: 0.2203 - mrcnn_mask_loss: 0.3157 - val_loss: 0.7915 - val_rpn_class_loss: 0.0040 - val_rpn_bbox_loss: 0.2218 - val_mrcnn_class_loss: 0.0371 - val_mrcnn_bbox_loss: 0.2166 - val_mrcnn_mask_loss: 0.3119\n",
      "Epoch 72/100\n",
      "100/100 [==============================] - 88s 880ms/step - loss: 0.8236 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2575 - mrcnn_class_loss: 0.0305 - mrcnn_bbox_loss: 0.2127 - mrcnn_mask_loss: 0.3195 - val_loss: 0.9003 - val_rpn_class_loss: 0.0019 - val_rpn_bbox_loss: 0.3020 - val_mrcnn_class_loss: 0.0161 - val_mrcnn_bbox_loss: 0.2312 - val_mrcnn_mask_loss: 0.3492\n",
      "Epoch 73/100\n",
      "100/100 [==============================] - 87s 875ms/step - loss: 0.8346 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2665 - mrcnn_class_loss: 0.0305 - mrcnn_bbox_loss: 0.2113 - mrcnn_mask_loss: 0.3232 - val_loss: 0.8307 - val_rpn_class_loss: 0.0043 - val_rpn_bbox_loss: 0.2260 - val_mrcnn_class_loss: 0.0412 - val_mrcnn_bbox_loss: 0.2222 - val_mrcnn_mask_loss: 0.3371\n",
      "Epoch 74/100\n",
      "100/100 [==============================] - 89s 887ms/step - loss: 0.8406 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2634 - mrcnn_class_loss: 0.0358 - mrcnn_bbox_loss: 0.2112 - mrcnn_mask_loss: 0.3269 - val_loss: 0.9060 - val_rpn_class_loss: 0.0026 - val_rpn_bbox_loss: 0.3042 - val_mrcnn_class_loss: 0.0320 - val_mrcnn_bbox_loss: 0.2239 - val_mrcnn_mask_loss: 0.3433\n",
      "Epoch 75/100\n",
      "100/100 [==============================] - 90s 899ms/step - loss: 0.8590 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2706 - mrcnn_class_loss: 0.0359 - mrcnn_bbox_loss: 0.2208 - mrcnn_mask_loss: 0.3283 - val_loss: 0.9023 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.3092 - val_mrcnn_class_loss: 0.0108 - val_mrcnn_bbox_loss: 0.2415 - val_mrcnn_mask_loss: 0.3376\n",
      "Epoch 76/100\n",
      "100/100 [==============================] - 90s 896ms/step - loss: 0.8480 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2692 - mrcnn_class_loss: 0.0312 - mrcnn_bbox_loss: 0.2215 - mrcnn_mask_loss: 0.3227 - val_loss: 0.8715 - val_rpn_class_loss: 0.0030 - val_rpn_bbox_loss: 0.3411 - val_mrcnn_class_loss: 0.0323 - val_mrcnn_bbox_loss: 0.1892 - val_mrcnn_mask_loss: 0.3058\n",
      "Epoch 77/100\n",
      "100/100 [==============================] - 89s 891ms/step - loss: 0.8672 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2731 - mrcnn_class_loss: 0.0355 - mrcnn_bbox_loss: 0.2258 - mrcnn_mask_loss: 0.3294 - val_loss: 0.8381 - val_rpn_class_loss: 0.0020 - val_rpn_bbox_loss: 0.2326 - val_mrcnn_class_loss: 0.0221 - val_mrcnn_bbox_loss: 0.2320 - val_mrcnn_mask_loss: 0.3494\n",
      "Epoch 78/100\n",
      "100/100 [==============================] - 90s 903ms/step - loss: 0.8349 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2653 - mrcnn_class_loss: 0.0369 - mrcnn_bbox_loss: 0.2137 - mrcnn_mask_loss: 0.3159 - val_loss: 0.8090 - val_rpn_class_loss: 0.0026 - val_rpn_bbox_loss: 0.2897 - val_mrcnn_class_loss: 0.0202 - val_mrcnn_bbox_loss: 0.1985 - val_mrcnn_mask_loss: 0.2980\n",
      "Epoch 79/100\n",
      "100/100 [==============================] - 88s 875ms/step - loss: 0.8580 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2897 - mrcnn_class_loss: 0.0313 - mrcnn_bbox_loss: 0.2143 - mrcnn_mask_loss: 0.3195 - val_loss: 0.8319 - val_rpn_class_loss: 0.0032 - val_rpn_bbox_loss: 0.2919 - val_mrcnn_class_loss: 0.0194 - val_mrcnn_bbox_loss: 0.2003 - val_mrcnn_mask_loss: 0.3171\n",
      "Epoch 80/100\n",
      "100/100 [==============================] - 89s 892ms/step - loss: 0.8538 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2853 - mrcnn_class_loss: 0.0330 - mrcnn_bbox_loss: 0.2194 - mrcnn_mask_loss: 0.3132 - val_loss: 0.7516 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.1867 - val_mrcnn_class_loss: 0.0243 - val_mrcnn_bbox_loss: 0.2166 - val_mrcnn_mask_loss: 0.3210\n",
      "Epoch 81/100\n",
      "100/100 [==============================] - 90s 904ms/step - loss: 0.8421 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2752 - mrcnn_class_loss: 0.0306 - mrcnn_bbox_loss: 0.2144 - mrcnn_mask_loss: 0.3187 - val_loss: 0.7345 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.2262 - val_mrcnn_class_loss: 0.0212 - val_mrcnn_bbox_loss: 0.1878 - val_mrcnn_mask_loss: 0.2962\n",
      "Epoch 82/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100/100 [==============================] - 87s 873ms/step - loss: 0.8326 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2667 - mrcnn_class_loss: 0.0348 - mrcnn_bbox_loss: 0.2105 - mrcnn_mask_loss: 0.3175 - val_loss: 0.8441 - val_rpn_class_loss: 0.0030 - val_rpn_bbox_loss: 0.2463 - val_mrcnn_class_loss: 0.0364 - val_mrcnn_bbox_loss: 0.2330 - val_mrcnn_mask_loss: 0.3254\n",
      "Epoch 83/100\n",
      "100/100 [==============================] - 89s 890ms/step - loss: 0.8601 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2704 - mrcnn_class_loss: 0.0341 - mrcnn_bbox_loss: 0.2248 - mrcnn_mask_loss: 0.3277 - val_loss: 0.7553 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.2793 - val_mrcnn_class_loss: 0.0174 - val_mrcnn_bbox_loss: 0.1618 - val_mrcnn_mask_loss: 0.2938\n",
      "Epoch 84/100\n",
      "100/100 [==============================] - 89s 887ms/step - loss: 0.8471 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2672 - mrcnn_class_loss: 0.0267 - mrcnn_bbox_loss: 0.2197 - mrcnn_mask_loss: 0.3305 - val_loss: 0.8186 - val_rpn_class_loss: 0.0044 - val_rpn_bbox_loss: 0.2365 - val_mrcnn_class_loss: 0.0341 - val_mrcnn_bbox_loss: 0.2305 - val_mrcnn_mask_loss: 0.3131\n",
      "Epoch 85/100\n",
      "100/100 [==============================] - 89s 890ms/step - loss: 0.8126 - rpn_class_loss: 0.0037 - rpn_bbox_loss: 0.2676 - mrcnn_class_loss: 0.0312 - mrcnn_bbox_loss: 0.2002 - mrcnn_mask_loss: 0.3100 - val_loss: 0.9622 - val_rpn_class_loss: 0.0027 - val_rpn_bbox_loss: 0.3680 - val_mrcnn_class_loss: 0.0332 - val_mrcnn_bbox_loss: 0.2364 - val_mrcnn_mask_loss: 0.3218\n",
      "Epoch 86/100\n",
      "100/100 [==============================] - 89s 887ms/step - loss: 0.8706 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2839 - mrcnn_class_loss: 0.0337 - mrcnn_bbox_loss: 0.2245 - mrcnn_mask_loss: 0.3250 - val_loss: 0.7488 - val_rpn_class_loss: 0.0030 - val_rpn_bbox_loss: 0.2418 - val_mrcnn_class_loss: 0.0390 - val_mrcnn_bbox_loss: 0.1784 - val_mrcnn_mask_loss: 0.2865\n",
      "Epoch 87/100\n",
      "100/100 [==============================] - 87s 873ms/step - loss: 0.8299 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2698 - mrcnn_class_loss: 0.0299 - mrcnn_bbox_loss: 0.2084 - mrcnn_mask_loss: 0.3188 - val_loss: 0.7631 - val_rpn_class_loss: 0.0028 - val_rpn_bbox_loss: 0.2575 - val_mrcnn_class_loss: 0.0291 - val_mrcnn_bbox_loss: 0.1878 - val_mrcnn_mask_loss: 0.2859\n",
      "Epoch 88/100\n",
      "100/100 [==============================] - 90s 896ms/step - loss: 0.7781 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2338 - mrcnn_class_loss: 0.0278 - mrcnn_bbox_loss: 0.1990 - mrcnn_mask_loss: 0.3142 - val_loss: 0.6194 - val_rpn_class_loss: 0.0026 - val_rpn_bbox_loss: 0.1810 - val_mrcnn_class_loss: 0.0197 - val_mrcnn_bbox_loss: 0.1437 - val_mrcnn_mask_loss: 0.2723\n",
      "Epoch 89/100\n",
      "100/100 [==============================] - 89s 886ms/step - loss: 0.8179 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2583 - mrcnn_class_loss: 0.0369 - mrcnn_bbox_loss: 0.2024 - mrcnn_mask_loss: 0.3170 - val_loss: 0.7760 - val_rpn_class_loss: 0.0027 - val_rpn_bbox_loss: 0.2569 - val_mrcnn_class_loss: 0.0287 - val_mrcnn_bbox_loss: 0.1883 - val_mrcnn_mask_loss: 0.2995\n",
      "Epoch 90/100\n",
      "100/100 [==============================] - 88s 882ms/step - loss: 0.8031 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2487 - mrcnn_class_loss: 0.0322 - mrcnn_bbox_loss: 0.2016 - mrcnn_mask_loss: 0.3175 - val_loss: 0.6146 - val_rpn_class_loss: 0.0030 - val_rpn_bbox_loss: 0.1512 - val_mrcnn_class_loss: 0.0272 - val_mrcnn_bbox_loss: 0.1440 - val_mrcnn_mask_loss: 0.2892\n",
      "Epoch 91/100\n",
      "100/100 [==============================] - 92s 919ms/step - loss: 0.8182 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2603 - mrcnn_class_loss: 0.0350 - mrcnn_bbox_loss: 0.1999 - mrcnn_mask_loss: 0.3197 - val_loss: 0.7961 - val_rpn_class_loss: 0.0032 - val_rpn_bbox_loss: 0.2559 - val_mrcnn_class_loss: 0.0285 - val_mrcnn_bbox_loss: 0.1858 - val_mrcnn_mask_loss: 0.3227\n",
      "Epoch 92/100\n",
      "100/100 [==============================] - 91s 910ms/step - loss: 0.8039 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2592 - mrcnn_class_loss: 0.0277 - mrcnn_bbox_loss: 0.2023 - mrcnn_mask_loss: 0.3112 - val_loss: 0.8008 - val_rpn_class_loss: 0.0024 - val_rpn_bbox_loss: 0.2647 - val_mrcnn_class_loss: 0.0199 - val_mrcnn_bbox_loss: 0.1869 - val_mrcnn_mask_loss: 0.3269\n",
      "Epoch 93/100\n",
      "100/100 [==============================] - 89s 892ms/step - loss: 0.8005 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2413 - mrcnn_class_loss: 0.0325 - mrcnn_bbox_loss: 0.2059 - mrcnn_mask_loss: 0.3175 - val_loss: 0.7504 - val_rpn_class_loss: 0.0038 - val_rpn_bbox_loss: 0.2400 - val_mrcnn_class_loss: 0.0279 - val_mrcnn_bbox_loss: 0.1761 - val_mrcnn_mask_loss: 0.3027\n",
      "Epoch 94/100\n",
      "100/100 [==============================] - 89s 891ms/step - loss: 0.7879 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2377 - mrcnn_class_loss: 0.0293 - mrcnn_bbox_loss: 0.2017 - mrcnn_mask_loss: 0.3159 - val_loss: 0.7987 - val_rpn_class_loss: 0.0044 - val_rpn_bbox_loss: 0.2152 - val_mrcnn_class_loss: 0.0206 - val_mrcnn_bbox_loss: 0.2227 - val_mrcnn_mask_loss: 0.3358\n",
      "Epoch 95/100\n",
      "100/100 [==============================] - 87s 868ms/step - loss: 0.7941 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2484 - mrcnn_class_loss: 0.0333 - mrcnn_bbox_loss: 0.1927 - mrcnn_mask_loss: 0.3164 - val_loss: 0.7956 - val_rpn_class_loss: 0.0029 - val_rpn_bbox_loss: 0.2235 - val_mrcnn_class_loss: 0.0356 - val_mrcnn_bbox_loss: 0.2061 - val_mrcnn_mask_loss: 0.3275\n",
      "Epoch 96/100\n",
      "100/100 [==============================] - 89s 891ms/step - loss: 0.8150 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2588 - mrcnn_class_loss: 0.0301 - mrcnn_bbox_loss: 0.2071 - mrcnn_mask_loss: 0.3158 - val_loss: 0.8161 - val_rpn_class_loss: 0.0027 - val_rpn_bbox_loss: 0.2465 - val_mrcnn_class_loss: 0.0356 - val_mrcnn_bbox_loss: 0.2188 - val_mrcnn_mask_loss: 0.3125\n",
      "Epoch 97/100\n",
      "100/100 [==============================] - 89s 886ms/step - loss: 0.8345 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2722 - mrcnn_class_loss: 0.0310 - mrcnn_bbox_loss: 0.2070 - mrcnn_mask_loss: 0.3213 - val_loss: 0.8972 - val_rpn_class_loss: 0.0028 - val_rpn_bbox_loss: 0.2677 - val_mrcnn_class_loss: 0.0337 - val_mrcnn_bbox_loss: 0.2508 - val_mrcnn_mask_loss: 0.3422\n",
      "Epoch 98/100\n",
      "100/100 [==============================] - 89s 887ms/step - loss: 0.8034 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2432 - mrcnn_class_loss: 0.0327 - mrcnn_bbox_loss: 0.2103 - mrcnn_mask_loss: 0.3142 - val_loss: 0.8892 - val_rpn_class_loss: 0.0044 - val_rpn_bbox_loss: 0.2738 - val_mrcnn_class_loss: 0.0852 - val_mrcnn_bbox_loss: 0.1991 - val_mrcnn_mask_loss: 0.3268\n",
      "Epoch 99/100\n",
      "100/100 [==============================] - 90s 898ms/step - loss: 0.8435 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.2710 - mrcnn_class_loss: 0.0311 - mrcnn_bbox_loss: 0.2153 - mrcnn_mask_loss: 0.3226 - val_loss: 0.9192 - val_rpn_class_loss: 0.0043 - val_rpn_bbox_loss: 0.2583 - val_mrcnn_class_loss: 0.0805 - val_mrcnn_bbox_loss: 0.2315 - val_mrcnn_mask_loss: 0.3446\n",
      "Epoch 100/100\n",
      "100/100 [==============================] - 90s 896ms/step - loss: 0.8121 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2483 - mrcnn_class_loss: 0.0343 - mrcnn_bbox_loss: 0.2077 - mrcnn_mask_loss: 0.3185 - val_loss: 0.6716 - val_rpn_class_loss: 0.0042 - val_rpn_bbox_loss: 0.2162 - val_mrcnn_class_loss: 0.0231 - val_mrcnn_bbox_loss: 0.1325 - val_mrcnn_mask_loss: 0.2956\n",
      "time consuming: 9432.113164186478\n"
     ]
    }
   ],
   "source": [
    "start = time.time()\n",
    "# use_multiprocessing=False\n",
    "model.train(dataset_train, dataset_test, \n",
    "            learning_rate=config.LEARNING_RATE, \n",
    "            epochs=100, \n",
    "            layers='heads')\n",
    "print(\"time consuming:\",time.time()-start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Starting at epoch 100. LR=0.001\n",
      "\n",
      "Checkpoint Path: /mnt/sh_flex_storage/malu/venv/CHIPS_MRCNN/logs_new/chips20180815T1637/mask_rcnn_chips_{epoch:04d}.h5\n",
      "Selecting layers to train\n",
      "conv1                  (Conv2D)\n",
      "bn_conv1               (BatchNorm)\n",
      "res2a_branch2a         (Conv2D)\n",
      "bn2a_branch2a          (BatchNorm)\n",
      "res2a_branch2b         (Conv2D)\n",
      "bn2a_branch2b          (BatchNorm)\n",
      "res2a_branch2c         (Conv2D)\n",
      "res2a_branch1          (Conv2D)\n",
      "bn2a_branch2c          (BatchNorm)\n",
      "bn2a_branch1           (BatchNorm)\n",
      "res2b_branch2a         (Conv2D)\n",
      "bn2b_branch2a          (BatchNorm)\n",
      "res2b_branch2b         (Conv2D)\n",
      "bn2b_branch2b          (BatchNorm)\n",
      "res2b_branch2c         (Conv2D)\n",
      "bn2b_branch2c          (BatchNorm)\n",
      "res2c_branch2a         (Conv2D)\n",
      "bn2c_branch2a          (BatchNorm)\n",
      "res2c_branch2b         (Conv2D)\n",
      "bn2c_branch2b          (BatchNorm)\n",
      "res2c_branch2c         (Conv2D)\n",
      "bn2c_branch2c          (BatchNorm)\n",
      "res3a_branch2a         (Conv2D)\n",
      "bn3a_branch2a          (BatchNorm)\n",
      "res3a_branch2b         (Conv2D)\n",
      "bn3a_branch2b          (BatchNorm)\n",
      "res3a_branch2c         (Conv2D)\n",
      "res3a_branch1          (Conv2D)\n",
      "bn3a_branch2c          (BatchNorm)\n",
      "bn3a_branch1           (BatchNorm)\n",
      "res3b_branch2a         (Conv2D)\n",
      "bn3b_branch2a          (BatchNorm)\n",
      "res3b_branch2b         (Conv2D)\n",
      "bn3b_branch2b          (BatchNorm)\n",
      "res3b_branch2c         (Conv2D)\n",
      "bn3b_branch2c          (BatchNorm)\n",
      "res3c_branch2a         (Conv2D)\n",
      "bn3c_branch2a          (BatchNorm)\n",
      "res3c_branch2b         (Conv2D)\n",
      "bn3c_branch2b          (BatchNorm)\n",
      "res3c_branch2c         (Conv2D)\n",
      "bn3c_branch2c          (BatchNorm)\n",
      "res3d_branch2a         (Conv2D)\n",
      "bn3d_branch2a          (BatchNorm)\n",
      "res3d_branch2b         (Conv2D)\n",
      "bn3d_branch2b          (BatchNorm)\n",
      "res3d_branch2c         (Conv2D)\n",
      "bn3d_branch2c          (BatchNorm)\n",
      "res4a_branch2a         (Conv2D)\n",
      "bn4a_branch2a          (BatchNorm)\n",
      "res4a_branch2b         (Conv2D)\n",
      "bn4a_branch2b          (BatchNorm)\n",
      "res4a_branch2c         (Conv2D)\n",
      "res4a_branch1          (Conv2D)\n",
      "bn4a_branch2c          (BatchNorm)\n",
      "bn4a_branch1           (BatchNorm)\n",
      "res4b_branch2a         (Conv2D)\n",
      "bn4b_branch2a          (BatchNorm)\n",
      "res4b_branch2b         (Conv2D)\n",
      "bn4b_branch2b          (BatchNorm)\n",
      "res4b_branch2c         (Conv2D)\n",
      "bn4b_branch2c          (BatchNorm)\n",
      "res4c_branch2a         (Conv2D)\n",
      "bn4c_branch2a          (BatchNorm)\n",
      "res4c_branch2b         (Conv2D)\n",
      "bn4c_branch2b          (BatchNorm)\n",
      "res4c_branch2c         (Conv2D)\n",
      "bn4c_branch2c          (BatchNorm)\n",
      "res4d_branch2a         (Conv2D)\n",
      "bn4d_branch2a          (BatchNorm)\n",
      "res4d_branch2b         (Conv2D)\n",
      "bn4d_branch2b          (BatchNorm)\n",
      "res4d_branch2c         (Conv2D)\n",
      "bn4d_branch2c          (BatchNorm)\n",
      "res4e_branch2a         (Conv2D)\n",
      "bn4e_branch2a          (BatchNorm)\n",
      "res4e_branch2b         (Conv2D)\n",
      "bn4e_branch2b          (BatchNorm)\n",
      "res4e_branch2c         (Conv2D)\n",
      "bn4e_branch2c          (BatchNorm)\n",
      "res4f_branch2a         (Conv2D)\n",
      "bn4f_branch2a          (BatchNorm)\n",
      "res4f_branch2b         (Conv2D)\n",
      "bn4f_branch2b          (BatchNorm)\n",
      "res4f_branch2c         (Conv2D)\n",
      "bn4f_branch2c          (BatchNorm)\n",
      "res5a_branch2a         (Conv2D)\n",
      "bn5a_branch2a          (BatchNorm)\n",
      "res5a_branch2b         (Conv2D)\n",
      "bn5a_branch2b          (BatchNorm)\n",
      "res5a_branch2c         (Conv2D)\n",
      "res5a_branch1          (Conv2D)\n",
      "bn5a_branch2c          (BatchNorm)\n",
      "bn5a_branch1           (BatchNorm)\n",
      "res5b_branch2a         (Conv2D)\n",
      "bn5b_branch2a          (BatchNorm)\n",
      "res5b_branch2b         (Conv2D)\n",
      "bn5b_branch2b          (BatchNorm)\n",
      "res5b_branch2c         (Conv2D)\n",
      "bn5b_branch2c          (BatchNorm)\n",
      "res5c_branch2a         (Conv2D)\n",
      "bn5c_branch2a          (BatchNorm)\n",
      "res5c_branch2b         (Conv2D)\n",
      "bn5c_branch2b          (BatchNorm)\n",
      "res5c_branch2c         (Conv2D)\n",
      "bn5c_branch2c          (BatchNorm)\n",
      "fpn_c5p5               (Conv2D)\n",
      "fpn_c4p4               (Conv2D)\n",
      "fpn_c3p3               (Conv2D)\n",
      "fpn_c2p2               (Conv2D)\n",
      "fpn_p5                 (Conv2D)\n",
      "fpn_p2                 (Conv2D)\n",
      "fpn_p3                 (Conv2D)\n",
      "fpn_p4                 (Conv2D)\n",
      "In model:  rpn_model\n",
      "    rpn_conv_shared        (Conv2D)\n",
      "    rpn_class_raw          (Conv2D)\n",
      "    rpn_bbox_pred          (Conv2D)\n",
      "mrcnn_mask_conv1       (TimeDistributed)\n",
      "mrcnn_mask_bn1         (TimeDistributed)\n",
      "mrcnn_mask_conv2       (TimeDistributed)\n",
      "mrcnn_mask_bn2         (TimeDistributed)\n",
      "mrcnn_class_conv1      (TimeDistributed)\n",
      "mrcnn_class_bn1        (TimeDistributed)\n",
      "mrcnn_mask_conv3       (TimeDistributed)\n",
      "mrcnn_mask_bn3         (TimeDistributed)\n",
      "mrcnn_class_conv2      (TimeDistributed)\n",
      "mrcnn_class_bn2        (TimeDistributed)\n",
      "mrcnn_mask_conv4       (TimeDistributed)\n",
      "mrcnn_mask_bn4         (TimeDistributed)\n",
      "mrcnn_bbox_fc          (TimeDistributed)\n",
      "mrcnn_mask_deconv      (TimeDistributed)\n",
      "mrcnn_class_logits     (TimeDistributed)\n",
      "mrcnn_mask             (TimeDistributed)\n",
      "Epoch 101/200\n",
      "100/100 [==============================] - 442s 4s/step - loss: 0.8081 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2488 - mrcnn_class_loss: 0.0308 - mrcnn_bbox_loss: 0.2089 - mrcnn_mask_loss: 0.3164 - val_loss: 0.7590 - val_rpn_class_loss: 0.0022 - val_rpn_bbox_loss: 0.2014 - val_mrcnn_class_loss: 0.0130 - val_mrcnn_bbox_loss: 0.2207 - val_mrcnn_mask_loss: 0.3217\n",
      "Epoch 102/200\n",
      "100/100 [==============================] - 79s 794ms/step - loss: 0.7876 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2476 - mrcnn_class_loss: 0.0284 - mrcnn_bbox_loss: 0.1930 - mrcnn_mask_loss: 0.3153 - val_loss: 0.8112 - val_rpn_class_loss: 0.0034 - val_rpn_bbox_loss: 0.2499 - val_mrcnn_class_loss: 0.0670 - val_mrcnn_bbox_loss: 0.1902 - val_mrcnn_mask_loss: 0.3007\n",
      "Epoch 103/200\n",
      "100/100 [==============================] - 84s 837ms/step - loss: 0.8159 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2557 - mrcnn_class_loss: 0.0349 - mrcnn_bbox_loss: 0.2017 - mrcnn_mask_loss: 0.3203 - val_loss: 0.8059 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.2942 - val_mrcnn_class_loss: 0.0171 - val_mrcnn_bbox_loss: 0.1799 - val_mrcnn_mask_loss: 0.3114\n",
      "Epoch 104/200\n",
      "100/100 [==============================] - 84s 840ms/step - loss: 0.8410 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2631 - mrcnn_class_loss: 0.0329 - mrcnn_bbox_loss: 0.2135 - mrcnn_mask_loss: 0.3285 - val_loss: 0.9033 - val_rpn_class_loss: 0.0038 - val_rpn_bbox_loss: 0.2826 - val_mrcnn_class_loss: 0.0332 - val_mrcnn_bbox_loss: 0.2352 - val_mrcnn_mask_loss: 0.3485\n",
      "Epoch 105/200\n",
      "100/100 [==============================] - 84s 836ms/step - loss: 0.8447 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2812 - mrcnn_class_loss: 0.0293 - mrcnn_bbox_loss: 0.2109 - mrcnn_mask_loss: 0.3200 - val_loss: 0.9675 - val_rpn_class_loss: 0.0041 - val_rpn_bbox_loss: 0.3734 - val_mrcnn_class_loss: 0.0237 - val_mrcnn_bbox_loss: 0.2351 - val_mrcnn_mask_loss: 0.3312\n",
      "Epoch 106/200\n",
      "100/100 [==============================] - 84s 836ms/step - loss: 0.8261 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2583 - mrcnn_class_loss: 0.0338 - mrcnn_bbox_loss: 0.2080 - mrcnn_mask_loss: 0.3225 - val_loss: 0.7245 - val_rpn_class_loss: 0.0026 - val_rpn_bbox_loss: 0.1920 - val_mrcnn_class_loss: 0.0142 - val_mrcnn_bbox_loss: 0.2105 - val_mrcnn_mask_loss: 0.3053\n",
      "Epoch 107/200\n",
      "100/100 [==============================] - 84s 842ms/step - loss: 0.8310 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2607 - mrcnn_class_loss: 0.0317 - mrcnn_bbox_loss: 0.2121 - mrcnn_mask_loss: 0.3232 - val_loss: 1.0279 - val_rpn_class_loss: 0.0050 - val_rpn_bbox_loss: 0.3163 - val_mrcnn_class_loss: 0.0324 - val_mrcnn_bbox_loss: 0.3228 - val_mrcnn_mask_loss: 0.3514\n",
      "Epoch 108/200\n",
      "100/100 [==============================] - 84s 842ms/step - loss: 0.8064 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2534 - mrcnn_class_loss: 0.0314 - mrcnn_bbox_loss: 0.2041 - mrcnn_mask_loss: 0.3142 - val_loss: 0.6943 - val_rpn_class_loss: 0.0041 - val_rpn_bbox_loss: 0.2258 - val_mrcnn_class_loss: 0.0118 - val_mrcnn_bbox_loss: 0.1781 - val_mrcnn_mask_loss: 0.2745\n",
      "Epoch 109/200\n",
      "100/100 [==============================] - 85s 852ms/step - loss: 0.8428 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2679 - mrcnn_class_loss: 0.0301 - mrcnn_bbox_loss: 0.2175 - mrcnn_mask_loss: 0.3238 - val_loss: 0.7132 - val_rpn_class_loss: 0.0026 - val_rpn_bbox_loss: 0.2147 - val_mrcnn_class_loss: 0.0198 - val_mrcnn_bbox_loss: 0.1797 - val_mrcnn_mask_loss: 0.2964\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 110/200\n",
      "100/100 [==============================] - 85s 848ms/step - loss: 0.8677 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.2902 - mrcnn_class_loss: 0.0280 - mrcnn_bbox_loss: 0.2218 - mrcnn_mask_loss: 0.3243 - val_loss: 0.7860 - val_rpn_class_loss: 0.0055 - val_rpn_bbox_loss: 0.2509 - val_mrcnn_class_loss: 0.0350 - val_mrcnn_bbox_loss: 0.1828 - val_mrcnn_mask_loss: 0.3119\n",
      "Epoch 111/200\n",
      "100/100 [==============================] - 84s 839ms/step - loss: 0.8277 - rpn_class_loss: 0.0029 - rpn_bbox_loss: 0.2715 - mrcnn_class_loss: 0.0314 - mrcnn_bbox_loss: 0.2068 - mrcnn_mask_loss: 0.3151 - val_loss: 0.7556 - val_rpn_class_loss: 0.0032 - val_rpn_bbox_loss: 0.2263 - val_mrcnn_class_loss: 0.0308 - val_mrcnn_bbox_loss: 0.1613 - val_mrcnn_mask_loss: 0.3339\n",
      "Epoch 112/200\n",
      "100/100 [==============================] - 85s 848ms/step - loss: 0.8185 - rpn_class_loss: 0.0029 - rpn_bbox_loss: 0.2650 - mrcnn_class_loss: 0.0249 - mrcnn_bbox_loss: 0.2066 - mrcnn_mask_loss: 0.3191 - val_loss: 0.9140 - val_rpn_class_loss: 0.0026 - val_rpn_bbox_loss: 0.2981 - val_mrcnn_class_loss: 0.0171 - val_mrcnn_bbox_loss: 0.2557 - val_mrcnn_mask_loss: 0.3404\n",
      "Epoch 113/200\n",
      "100/100 [==============================] - 83s 831ms/step - loss: 0.8280 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2701 - mrcnn_class_loss: 0.0336 - mrcnn_bbox_loss: 0.2054 - mrcnn_mask_loss: 0.3156 - val_loss: 0.7934 - val_rpn_class_loss: 0.0035 - val_rpn_bbox_loss: 0.2471 - val_mrcnn_class_loss: 0.0285 - val_mrcnn_bbox_loss: 0.2088 - val_mrcnn_mask_loss: 0.3055\n",
      "Epoch 114/200\n",
      "100/100 [==============================] - 83s 830ms/step - loss: 0.8597 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2810 - mrcnn_class_loss: 0.0306 - mrcnn_bbox_loss: 0.2208 - mrcnn_mask_loss: 0.3242 - val_loss: 0.8020 - val_rpn_class_loss: 0.0042 - val_rpn_bbox_loss: 0.2330 - val_mrcnn_class_loss: 0.0486 - val_mrcnn_bbox_loss: 0.1982 - val_mrcnn_mask_loss: 0.3179\n",
      "Epoch 115/200\n",
      "100/100 [==============================] - 83s 828ms/step - loss: 0.7965 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2584 - mrcnn_class_loss: 0.0272 - mrcnn_bbox_loss: 0.1972 - mrcnn_mask_loss: 0.3106 - val_loss: 0.7747 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.2492 - val_mrcnn_class_loss: 0.0209 - val_mrcnn_bbox_loss: 0.1961 - val_mrcnn_mask_loss: 0.3054\n",
      "Epoch 116/200\n",
      "100/100 [==============================] - 84s 844ms/step - loss: 0.8372 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2771 - mrcnn_class_loss: 0.0275 - mrcnn_bbox_loss: 0.2110 - mrcnn_mask_loss: 0.3183 - val_loss: 0.6515 - val_rpn_class_loss: 0.0032 - val_rpn_bbox_loss: 0.1767 - val_mrcnn_class_loss: 0.0159 - val_mrcnn_bbox_loss: 0.1662 - val_mrcnn_mask_loss: 0.2896\n",
      "Epoch 117/200\n",
      "100/100 [==============================] - 84s 842ms/step - loss: 0.8397 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.2704 - mrcnn_class_loss: 0.0271 - mrcnn_bbox_loss: 0.2154 - mrcnn_mask_loss: 0.3233 - val_loss: 0.7634 - val_rpn_class_loss: 0.0033 - val_rpn_bbox_loss: 0.2784 - val_mrcnn_class_loss: 0.0257 - val_mrcnn_bbox_loss: 0.1627 - val_mrcnn_mask_loss: 0.2934\n",
      "Epoch 118/200\n",
      "100/100 [==============================] - 83s 835ms/step - loss: 0.8203 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2566 - mrcnn_class_loss: 0.0291 - mrcnn_bbox_loss: 0.2127 - mrcnn_mask_loss: 0.3186 - val_loss: 0.7805 - val_rpn_class_loss: 0.0032 - val_rpn_bbox_loss: 0.2337 - val_mrcnn_class_loss: 0.0418 - val_mrcnn_bbox_loss: 0.1904 - val_mrcnn_mask_loss: 0.3114\n",
      "Epoch 119/200\n",
      "100/100 [==============================] - 84s 841ms/step - loss: 0.8240 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2705 - mrcnn_class_loss: 0.0311 - mrcnn_bbox_loss: 0.2056 - mrcnn_mask_loss: 0.3137 - val_loss: 0.7221 - val_rpn_class_loss: 0.0019 - val_rpn_bbox_loss: 0.1791 - val_mrcnn_class_loss: 0.0280 - val_mrcnn_bbox_loss: 0.1952 - val_mrcnn_mask_loss: 0.3178\n",
      "Epoch 120/200\n",
      "100/100 [==============================] - 84s 840ms/step - loss: 0.8498 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2869 - mrcnn_class_loss: 0.0244 - mrcnn_bbox_loss: 0.2162 - mrcnn_mask_loss: 0.3193 - val_loss: 0.8008 - val_rpn_class_loss: 0.0037 - val_rpn_bbox_loss: 0.2422 - val_mrcnn_class_loss: 0.0201 - val_mrcnn_bbox_loss: 0.2169 - val_mrcnn_mask_loss: 0.3179\n",
      "Epoch 121/200\n",
      "100/100 [==============================] - 85s 848ms/step - loss: 0.8290 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2632 - mrcnn_class_loss: 0.0326 - mrcnn_bbox_loss: 0.2122 - mrcnn_mask_loss: 0.3179 - val_loss: 0.6481 - val_rpn_class_loss: 0.0030 - val_rpn_bbox_loss: 0.1758 - val_mrcnn_class_loss: 0.0218 - val_mrcnn_bbox_loss: 0.1560 - val_mrcnn_mask_loss: 0.2916\n",
      "Epoch 122/200\n",
      "100/100 [==============================] - 84s 843ms/step - loss: 0.8651 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2887 - mrcnn_class_loss: 0.0352 - mrcnn_bbox_loss: 0.2174 - mrcnn_mask_loss: 0.3205 - val_loss: 0.7365 - val_rpn_class_loss: 0.0044 - val_rpn_bbox_loss: 0.2140 - val_mrcnn_class_loss: 0.0163 - val_mrcnn_bbox_loss: 0.1763 - val_mrcnn_mask_loss: 0.3255\n",
      "Epoch 123/200\n",
      "100/100 [==============================] - 86s 855ms/step - loss: 0.8332 - rpn_class_loss: 0.0035 - rpn_bbox_loss: 0.2702 - mrcnn_class_loss: 0.0323 - mrcnn_bbox_loss: 0.2105 - mrcnn_mask_loss: 0.3168 - val_loss: 0.7758 - val_rpn_class_loss: 0.0042 - val_rpn_bbox_loss: 0.2138 - val_mrcnn_class_loss: 0.0468 - val_mrcnn_bbox_loss: 0.1906 - val_mrcnn_mask_loss: 0.3203\n",
      "Epoch 124/200\n",
      "100/100 [==============================] - 86s 860ms/step - loss: 0.8321 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2675 - mrcnn_class_loss: 0.0318 - mrcnn_bbox_loss: 0.2122 - mrcnn_mask_loss: 0.3174 - val_loss: 0.8801 - val_rpn_class_loss: 0.0044 - val_rpn_bbox_loss: 0.2514 - val_mrcnn_class_loss: 0.0500 - val_mrcnn_bbox_loss: 0.2469 - val_mrcnn_mask_loss: 0.3274\n",
      "Epoch 125/200\n",
      "100/100 [==============================] - 85s 853ms/step - loss: 0.8614 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2875 - mrcnn_class_loss: 0.0303 - mrcnn_bbox_loss: 0.2194 - mrcnn_mask_loss: 0.3208 - val_loss: 0.7147 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.2035 - val_mrcnn_class_loss: 0.0366 - val_mrcnn_bbox_loss: 0.1692 - val_mrcnn_mask_loss: 0.3023\n",
      "Epoch 126/200\n",
      "100/100 [==============================] - 85s 852ms/step - loss: 0.8635 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2841 - mrcnn_class_loss: 0.0324 - mrcnn_bbox_loss: 0.2189 - mrcnn_mask_loss: 0.3248 - val_loss: 0.7454 - val_rpn_class_loss: 0.0026 - val_rpn_bbox_loss: 0.2339 - val_mrcnn_class_loss: 0.0244 - val_mrcnn_bbox_loss: 0.1586 - val_mrcnn_mask_loss: 0.3259\n",
      "Epoch 127/200\n",
      "100/100 [==============================] - 85s 846ms/step - loss: 0.8464 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2739 - mrcnn_class_loss: 0.0293 - mrcnn_bbox_loss: 0.2185 - mrcnn_mask_loss: 0.3218 - val_loss: 0.7650 - val_rpn_class_loss: 0.0029 - val_rpn_bbox_loss: 0.2103 - val_mrcnn_class_loss: 0.0240 - val_mrcnn_bbox_loss: 0.2091 - val_mrcnn_mask_loss: 0.3187\n",
      "Epoch 128/200\n",
      "100/100 [==============================] - 85s 852ms/step - loss: 0.8661 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2853 - mrcnn_class_loss: 0.0273 - mrcnn_bbox_loss: 0.2247 - mrcnn_mask_loss: 0.3254 - val_loss: 0.7439 - val_rpn_class_loss: 0.0039 - val_rpn_bbox_loss: 0.2301 - val_mrcnn_class_loss: 0.0216 - val_mrcnn_bbox_loss: 0.1795 - val_mrcnn_mask_loss: 0.3089\n",
      "Epoch 129/200\n",
      "100/100 [==============================] - 83s 828ms/step - loss: 0.8220 - rpn_class_loss: 0.0029 - rpn_bbox_loss: 0.2644 - mrcnn_class_loss: 0.0312 - mrcnn_bbox_loss: 0.2105 - mrcnn_mask_loss: 0.3130 - val_loss: 0.8180 - val_rpn_class_loss: 0.0018 - val_rpn_bbox_loss: 0.2606 - val_mrcnn_class_loss: 0.0224 - val_mrcnn_bbox_loss: 0.2090 - val_mrcnn_mask_loss: 0.3241\n",
      "Epoch 130/200\n",
      "100/100 [==============================] - 84s 843ms/step - loss: 0.7729 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2316 - mrcnn_class_loss: 0.0316 - mrcnn_bbox_loss: 0.1896 - mrcnn_mask_loss: 0.3167 - val_loss: 0.6692 - val_rpn_class_loss: 0.0028 - val_rpn_bbox_loss: 0.1928 - val_mrcnn_class_loss: 0.0387 - val_mrcnn_bbox_loss: 0.1584 - val_mrcnn_mask_loss: 0.2764\n",
      "Epoch 131/200\n",
      "100/100 [==============================] - 86s 857ms/step - loss: 0.7763 - rpn_class_loss: 0.0029 - rpn_bbox_loss: 0.2391 - mrcnn_class_loss: 0.0297 - mrcnn_bbox_loss: 0.1954 - mrcnn_mask_loss: 0.3092 - val_loss: 0.6604 - val_rpn_class_loss: 0.0024 - val_rpn_bbox_loss: 0.1929 - val_mrcnn_class_loss: 0.0101 - val_mrcnn_bbox_loss: 0.1636 - val_mrcnn_mask_loss: 0.2913\n",
      "Epoch 132/200\n",
      "100/100 [==============================] - 84s 844ms/step - loss: 0.7746 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2390 - mrcnn_class_loss: 0.0265 - mrcnn_bbox_loss: 0.1956 - mrcnn_mask_loss: 0.3103 - val_loss: 0.8446 - val_rpn_class_loss: 0.0025 - val_rpn_bbox_loss: 0.2680 - val_mrcnn_class_loss: 0.0207 - val_mrcnn_bbox_loss: 0.2103 - val_mrcnn_mask_loss: 0.3431\n",
      "Epoch 133/200\n",
      "100/100 [==============================] - 83s 834ms/step - loss: 0.7917 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2406 - mrcnn_class_loss: 0.0312 - mrcnn_bbox_loss: 0.1993 - mrcnn_mask_loss: 0.3173 - val_loss: 0.8286 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.2223 - val_mrcnn_class_loss: 0.0301 - val_mrcnn_bbox_loss: 0.2347 - val_mrcnn_mask_loss: 0.3384\n",
      "Epoch 134/200\n",
      "100/100 [==============================] - 84s 845ms/step - loss: 0.7738 - rpn_class_loss: 0.0026 - rpn_bbox_loss: 0.2411 - mrcnn_class_loss: 0.0262 - mrcnn_bbox_loss: 0.1939 - mrcnn_mask_loss: 0.3100 - val_loss: 0.7772 - val_rpn_class_loss: 0.0023 - val_rpn_bbox_loss: 0.1804 - val_mrcnn_class_loss: 0.0463 - val_mrcnn_bbox_loss: 0.2049 - val_mrcnn_mask_loss: 0.3432\n",
      "Epoch 135/200\n",
      "100/100 [==============================] - 84s 844ms/step - loss: 0.8056 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2408 - mrcnn_class_loss: 0.0310 - mrcnn_bbox_loss: 0.2057 - mrcnn_mask_loss: 0.3250 - val_loss: 0.7769 - val_rpn_class_loss: 0.0021 - val_rpn_bbox_loss: 0.1836 - val_mrcnn_class_loss: 0.0279 - val_mrcnn_bbox_loss: 0.2148 - val_mrcnn_mask_loss: 0.3485\n",
      "Epoch 136/200\n",
      "100/100 [==============================] - 83s 830ms/step - loss: 0.7692 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2283 - mrcnn_class_loss: 0.0319 - mrcnn_bbox_loss: 0.1934 - mrcnn_mask_loss: 0.3126 - val_loss: 0.7399 - val_rpn_class_loss: 0.0057 - val_rpn_bbox_loss: 0.2673 - val_mrcnn_class_loss: 0.0196 - val_mrcnn_bbox_loss: 0.1469 - val_mrcnn_mask_loss: 0.3003\n",
      "Epoch 137/200\n",
      "100/100 [==============================] - 84s 843ms/step - loss: 0.7758 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2423 - mrcnn_class_loss: 0.0285 - mrcnn_bbox_loss: 0.1889 - mrcnn_mask_loss: 0.3130 - val_loss: 0.5754 - val_rpn_class_loss: 0.0018 - val_rpn_bbox_loss: 0.1340 - val_mrcnn_class_loss: 0.0077 - val_mrcnn_bbox_loss: 0.1465 - val_mrcnn_mask_loss: 0.2854\n",
      "Epoch 138/200\n",
      "100/100 [==============================] - 85s 853ms/step - loss: 0.7860 - rpn_class_loss: 0.0029 - rpn_bbox_loss: 0.2418 - mrcnn_class_loss: 0.0294 - mrcnn_bbox_loss: 0.1997 - mrcnn_mask_loss: 0.3123 - val_loss: 0.7985 - val_rpn_class_loss: 0.0054 - val_rpn_bbox_loss: 0.2776 - val_mrcnn_class_loss: 0.0331 - val_mrcnn_bbox_loss: 0.1874 - val_mrcnn_mask_loss: 0.2950\n",
      "Epoch 139/200\n",
      "100/100 [==============================] - 83s 828ms/step - loss: 0.7758 - rpn_class_loss: 0.0036 - rpn_bbox_loss: 0.2320 - mrcnn_class_loss: 0.0258 - mrcnn_bbox_loss: 0.2005 - mrcnn_mask_loss: 0.3139 - val_loss: 0.7389 - val_rpn_class_loss: 0.0033 - val_rpn_bbox_loss: 0.1980 - val_mrcnn_class_loss: 0.0153 - val_mrcnn_bbox_loss: 0.2157 - val_mrcnn_mask_loss: 0.3067\n",
      "Epoch 140/200\n",
      "100/100 [==============================] - 85s 845ms/step - loss: 0.7739 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2360 - mrcnn_class_loss: 0.0298 - mrcnn_bbox_loss: 0.1932 - mrcnn_mask_loss: 0.3117 - val_loss: 0.7229 - val_rpn_class_loss: 0.0020 - val_rpn_bbox_loss: 0.1652 - val_mrcnn_class_loss: 0.0345 - val_mrcnn_bbox_loss: 0.1783 - val_mrcnn_mask_loss: 0.3429\n",
      "Epoch 141/200\n",
      "100/100 [==============================] - 84s 844ms/step - loss: 0.7961 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2466 - mrcnn_class_loss: 0.0324 - mrcnn_bbox_loss: 0.1988 - mrcnn_mask_loss: 0.3153 - val_loss: 0.8568 - val_rpn_class_loss: 0.0039 - val_rpn_bbox_loss: 0.3085 - val_mrcnn_class_loss: 0.0177 - val_mrcnn_bbox_loss: 0.2132 - val_mrcnn_mask_loss: 0.3135\n",
      "Epoch 142/200\n",
      "100/100 [==============================] - 84s 840ms/step - loss: 0.7649 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2386 - mrcnn_class_loss: 0.0258 - mrcnn_bbox_loss: 0.1915 - mrcnn_mask_loss: 0.3059 - val_loss: 0.8984 - val_rpn_class_loss: 0.0030 - val_rpn_bbox_loss: 0.3272 - val_mrcnn_class_loss: 0.0347 - val_mrcnn_bbox_loss: 0.2214 - val_mrcnn_mask_loss: 0.3120\n",
      "Epoch 143/200\n",
      "100/100 [==============================] - 83s 832ms/step - loss: 0.7987 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2478 - mrcnn_class_loss: 0.0264 - mrcnn_bbox_loss: 0.2034 - mrcnn_mask_loss: 0.3180 - val_loss: 0.7234 - val_rpn_class_loss: 0.0019 - val_rpn_bbox_loss: 0.1969 - val_mrcnn_class_loss: 0.0326 - val_mrcnn_bbox_loss: 0.1792 - val_mrcnn_mask_loss: 0.3127\n",
      "Epoch 144/200\n",
      "100/100 [==============================] - 85s 854ms/step - loss: 0.7553 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2255 - mrcnn_class_loss: 0.0287 - mrcnn_bbox_loss: 0.1931 - mrcnn_mask_loss: 0.3050 - val_loss: 0.8099 - val_rpn_class_loss: 0.0028 - val_rpn_bbox_loss: 0.2643 - val_mrcnn_class_loss: 0.0318 - val_mrcnn_bbox_loss: 0.1933 - val_mrcnn_mask_loss: 0.3178\n",
      "Epoch 145/200\n",
      "100/100 [==============================] - 84s 844ms/step - loss: 0.7949 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2455 - mrcnn_class_loss: 0.0268 - mrcnn_bbox_loss: 0.2061 - mrcnn_mask_loss: 0.3134 - val_loss: 0.6931 - val_rpn_class_loss: 0.0033 - val_rpn_bbox_loss: 0.1530 - val_mrcnn_class_loss: 0.0572 - val_mrcnn_bbox_loss: 0.1867 - val_mrcnn_mask_loss: 0.2928\n",
      "Epoch 146/200\n",
      "100/100 [==============================] - 86s 864ms/step - loss: 0.7847 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2486 - mrcnn_class_loss: 0.0327 - mrcnn_bbox_loss: 0.1940 - mrcnn_mask_loss: 0.3060 - val_loss: 0.7941 - val_rpn_class_loss: 0.0029 - val_rpn_bbox_loss: 0.2299 - val_mrcnn_class_loss: 0.0329 - val_mrcnn_bbox_loss: 0.1757 - val_mrcnn_mask_loss: 0.3527\n",
      "Epoch 147/200\n",
      "100/100 [==============================] - 85s 849ms/step - loss: 0.7858 - rpn_class_loss: 0.0028 - rpn_bbox_loss: 0.2422 - mrcnn_class_loss: 0.0281 - mrcnn_bbox_loss: 0.1981 - mrcnn_mask_loss: 0.3147 - val_loss: 0.7957 - val_rpn_class_loss: 0.0026 - val_rpn_bbox_loss: 0.2548 - val_mrcnn_class_loss: 0.0246 - val_mrcnn_bbox_loss: 0.1975 - val_mrcnn_mask_loss: 0.3162\n",
      "Epoch 148/200\n",
      "100/100 [==============================] - 83s 832ms/step - loss: 0.7806 - rpn_class_loss: 0.0028 - rpn_bbox_loss: 0.2358 - mrcnn_class_loss: 0.0311 - mrcnn_bbox_loss: 0.2010 - mrcnn_mask_loss: 0.3099 - val_loss: 0.6799 - val_rpn_class_loss: 0.0039 - val_rpn_bbox_loss: 0.1990 - val_mrcnn_class_loss: 0.0340 - val_mrcnn_bbox_loss: 0.1573 - val_mrcnn_mask_loss: 0.2857\n",
      "Epoch 149/200\n",
      "100/100 [==============================] - 85s 849ms/step - loss: 0.7880 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2518 - mrcnn_class_loss: 0.0311 - mrcnn_bbox_loss: 0.1938 - mrcnn_mask_loss: 0.3081 - val_loss: 0.7571 - val_rpn_class_loss: 0.0024 - val_rpn_bbox_loss: 0.2090 - val_mrcnn_class_loss: 0.0296 - val_mrcnn_bbox_loss: 0.1917 - val_mrcnn_mask_loss: 0.3244\n",
      "Epoch 150/200\n",
      "100/100 [==============================] - 85s 849ms/step - loss: 0.7614 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2364 - mrcnn_class_loss: 0.0254 - mrcnn_bbox_loss: 0.1930 - mrcnn_mask_loss: 0.3036 - val_loss: 0.6803 - val_rpn_class_loss: 0.0036 - val_rpn_bbox_loss: 0.1918 - val_mrcnn_class_loss: 0.0268 - val_mrcnn_bbox_loss: 0.1567 - val_mrcnn_mask_loss: 0.3015\n",
      "Epoch 151/200\n",
      "100/100 [==============================] - 85s 850ms/step - loss: 0.8073 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2552 - mrcnn_class_loss: 0.0285 - mrcnn_bbox_loss: 0.2053 - mrcnn_mask_loss: 0.3153 - val_loss: 0.7548 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.2256 - val_mrcnn_class_loss: 0.0258 - val_mrcnn_bbox_loss: 0.2018 - val_mrcnn_mask_loss: 0.2986\n",
      "Epoch 152/200\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100/100 [==============================] - 85s 853ms/step - loss: 0.8045 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.2478 - mrcnn_class_loss: 0.0313 - mrcnn_bbox_loss: 0.2021 - mrcnn_mask_loss: 0.3200 - val_loss: 0.5586 - val_rpn_class_loss: 0.0024 - val_rpn_bbox_loss: 0.1365 - val_mrcnn_class_loss: 0.0106 - val_mrcnn_bbox_loss: 0.1470 - val_mrcnn_mask_loss: 0.2621\n",
      "Epoch 153/200\n",
      "100/100 [==============================] - 84s 836ms/step - loss: 0.8082 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2508 - mrcnn_class_loss: 0.0303 - mrcnn_bbox_loss: 0.2120 - mrcnn_mask_loss: 0.3118 - val_loss: 0.6528 - val_rpn_class_loss: 0.0026 - val_rpn_bbox_loss: 0.1785 - val_mrcnn_class_loss: 0.0421 - val_mrcnn_bbox_loss: 0.1226 - val_mrcnn_mask_loss: 0.3070\n",
      "Epoch 154/200\n",
      "100/100 [==============================] - 84s 836ms/step - loss: 0.7862 - rpn_class_loss: 0.0029 - rpn_bbox_loss: 0.2381 - mrcnn_class_loss: 0.0262 - mrcnn_bbox_loss: 0.2065 - mrcnn_mask_loss: 0.3124 - val_loss: 0.7476 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.2109 - val_mrcnn_class_loss: 0.0214 - val_mrcnn_bbox_loss: 0.1914 - val_mrcnn_mask_loss: 0.3207\n",
      "Epoch 155/200\n",
      "100/100 [==============================] - 85s 852ms/step - loss: 0.7824 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2472 - mrcnn_class_loss: 0.0290 - mrcnn_bbox_loss: 0.1955 - mrcnn_mask_loss: 0.3076 - val_loss: 0.6600 - val_rpn_class_loss: 0.0017 - val_rpn_bbox_loss: 0.2099 - val_mrcnn_class_loss: 0.0141 - val_mrcnn_bbox_loss: 0.1580 - val_mrcnn_mask_loss: 0.2763\n",
      "Epoch 156/200\n",
      "100/100 [==============================] - 83s 835ms/step - loss: 0.7609 - rpn_class_loss: 0.0028 - rpn_bbox_loss: 0.2358 - mrcnn_class_loss: 0.0240 - mrcnn_bbox_loss: 0.1912 - mrcnn_mask_loss: 0.3071 - val_loss: 0.7706 - val_rpn_class_loss: 0.0034 - val_rpn_bbox_loss: 0.2123 - val_mrcnn_class_loss: 0.0213 - val_mrcnn_bbox_loss: 0.2213 - val_mrcnn_mask_loss: 0.3122\n",
      "Epoch 157/200\n",
      "100/100 [==============================] - 84s 841ms/step - loss: 0.7943 - rpn_class_loss: 0.0026 - rpn_bbox_loss: 0.2417 - mrcnn_class_loss: 0.0327 - mrcnn_bbox_loss: 0.2063 - mrcnn_mask_loss: 0.3109 - val_loss: 0.7488 - val_rpn_class_loss: 0.0034 - val_rpn_bbox_loss: 0.2364 - val_mrcnn_class_loss: 0.0267 - val_mrcnn_bbox_loss: 0.1728 - val_mrcnn_mask_loss: 0.3095\n",
      "Epoch 158/200\n",
      "100/100 [==============================] - 84s 841ms/step - loss: 0.7920 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2475 - mrcnn_class_loss: 0.0265 - mrcnn_bbox_loss: 0.2019 - mrcnn_mask_loss: 0.3130 - val_loss: 0.7268 - val_rpn_class_loss: 0.0037 - val_rpn_bbox_loss: 0.2175 - val_mrcnn_class_loss: 0.0333 - val_mrcnn_bbox_loss: 0.1651 - val_mrcnn_mask_loss: 0.3073\n",
      "Epoch 159/200\n",
      "100/100 [==============================] - 83s 833ms/step - loss: 0.7087 - rpn_class_loss: 0.0028 - rpn_bbox_loss: 0.2001 - mrcnn_class_loss: 0.0268 - mrcnn_bbox_loss: 0.1787 - mrcnn_mask_loss: 0.3003 - val_loss: 0.6792 - val_rpn_class_loss: 0.0020 - val_rpn_bbox_loss: 0.1768 - val_mrcnn_class_loss: 0.0144 - val_mrcnn_bbox_loss: 0.1977 - val_mrcnn_mask_loss: 0.2884\n",
      "Epoch 160/200\n",
      "100/100 [==============================] - 85s 851ms/step - loss: 0.7305 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2265 - mrcnn_class_loss: 0.0285 - mrcnn_bbox_loss: 0.1709 - mrcnn_mask_loss: 0.3015 - val_loss: 0.7208 - val_rpn_class_loss: 0.0039 - val_rpn_bbox_loss: 0.1969 - val_mrcnn_class_loss: 0.0397 - val_mrcnn_bbox_loss: 0.1841 - val_mrcnn_mask_loss: 0.2962\n",
      "Epoch 161/200\n",
      "100/100 [==============================] - 85s 851ms/step - loss: 0.7289 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2080 - mrcnn_class_loss: 0.0313 - mrcnn_bbox_loss: 0.1782 - mrcnn_mask_loss: 0.3083 - val_loss: 0.7455 - val_rpn_class_loss: 0.0022 - val_rpn_bbox_loss: 0.2224 - val_mrcnn_class_loss: 0.0134 - val_mrcnn_bbox_loss: 0.1987 - val_mrcnn_mask_loss: 0.3088\n",
      "Epoch 162/200\n",
      "100/100 [==============================] - 84s 845ms/step - loss: 0.6991 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2053 - mrcnn_class_loss: 0.0264 - mrcnn_bbox_loss: 0.1731 - mrcnn_mask_loss: 0.2914 - val_loss: 0.7583 - val_rpn_class_loss: 0.0026 - val_rpn_bbox_loss: 0.2195 - val_mrcnn_class_loss: 0.0143 - val_mrcnn_bbox_loss: 0.2178 - val_mrcnn_mask_loss: 0.3040\n",
      "Epoch 163/200\n",
      "100/100 [==============================] - 84s 840ms/step - loss: 0.7325 - rpn_class_loss: 0.0028 - rpn_bbox_loss: 0.2112 - mrcnn_class_loss: 0.0258 - mrcnn_bbox_loss: 0.1848 - mrcnn_mask_loss: 0.3078 - val_loss: 0.7185 - val_rpn_class_loss: 0.0021 - val_rpn_bbox_loss: 0.1806 - val_mrcnn_class_loss: 0.0338 - val_mrcnn_bbox_loss: 0.1873 - val_mrcnn_mask_loss: 0.3147\n",
      "Epoch 164/200\n",
      "100/100 [==============================] - 85s 851ms/step - loss: 0.7507 - rpn_class_loss: 0.0029 - rpn_bbox_loss: 0.2262 - mrcnn_class_loss: 0.0226 - mrcnn_bbox_loss: 0.1868 - mrcnn_mask_loss: 0.3122 - val_loss: 0.6849 - val_rpn_class_loss: 0.0017 - val_rpn_bbox_loss: 0.2072 - val_mrcnn_class_loss: 0.0163 - val_mrcnn_bbox_loss: 0.1549 - val_mrcnn_mask_loss: 0.3048\n",
      "Epoch 165/200\n",
      "100/100 [==============================] - 85s 855ms/step - loss: 0.7121 - rpn_class_loss: 0.0029 - rpn_bbox_loss: 0.2074 - mrcnn_class_loss: 0.0264 - mrcnn_bbox_loss: 0.1737 - mrcnn_mask_loss: 0.3018 - val_loss: 0.7122 - val_rpn_class_loss: 0.0028 - val_rpn_bbox_loss: 0.2125 - val_mrcnn_class_loss: 0.0502 - val_mrcnn_bbox_loss: 0.1582 - val_mrcnn_mask_loss: 0.2885\n",
      "Epoch 166/200\n",
      "100/100 [==============================] - 86s 861ms/step - loss: 0.7470 - rpn_class_loss: 0.0028 - rpn_bbox_loss: 0.2285 - mrcnn_class_loss: 0.0254 - mrcnn_bbox_loss: 0.1861 - mrcnn_mask_loss: 0.3042 - val_loss: 0.8136 - val_rpn_class_loss: 0.0028 - val_rpn_bbox_loss: 0.2967 - val_mrcnn_class_loss: 0.0256 - val_mrcnn_bbox_loss: 0.1870 - val_mrcnn_mask_loss: 0.3015\n",
      "Epoch 167/200\n",
      "100/100 [==============================] - 85s 855ms/step - loss: 0.7353 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2084 - mrcnn_class_loss: 0.0252 - mrcnn_bbox_loss: 0.1915 - mrcnn_mask_loss: 0.3072 - val_loss: 0.6728 - val_rpn_class_loss: 0.0044 - val_rpn_bbox_loss: 0.1803 - val_mrcnn_class_loss: 0.0252 - val_mrcnn_bbox_loss: 0.1666 - val_mrcnn_mask_loss: 0.2963\n",
      "Epoch 168/200\n",
      "100/100 [==============================] - 83s 828ms/step - loss: 0.7584 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2327 - mrcnn_class_loss: 0.0291 - mrcnn_bbox_loss: 0.1827 - mrcnn_mask_loss: 0.3106 - val_loss: 0.7148 - val_rpn_class_loss: 0.0031 - val_rpn_bbox_loss: 0.2096 - val_mrcnn_class_loss: 0.0134 - val_mrcnn_bbox_loss: 0.1825 - val_mrcnn_mask_loss: 0.3061\n",
      "Epoch 169/200\n",
      "100/100 [==============================] - 86s 855ms/step - loss: 0.7299 - rpn_class_loss: 0.0026 - rpn_bbox_loss: 0.2104 - mrcnn_class_loss: 0.0291 - mrcnn_bbox_loss: 0.1832 - mrcnn_mask_loss: 0.3046 - val_loss: 0.7553 - val_rpn_class_loss: 0.0040 - val_rpn_bbox_loss: 0.1938 - val_mrcnn_class_loss: 0.0455 - val_mrcnn_bbox_loss: 0.1685 - val_mrcnn_mask_loss: 0.3435\n",
      "Epoch 170/200\n",
      "100/100 [==============================] - 84s 841ms/step - loss: 0.7248 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2071 - mrcnn_class_loss: 0.0228 - mrcnn_bbox_loss: 0.1854 - mrcnn_mask_loss: 0.3062 - val_loss: 0.6471 - val_rpn_class_loss: 0.0027 - val_rpn_bbox_loss: 0.1875 - val_mrcnn_class_loss: 0.0086 - val_mrcnn_bbox_loss: 0.1479 - val_mrcnn_mask_loss: 0.3005\n",
      "Epoch 171/200\n",
      "100/100 [==============================] - 84s 841ms/step - loss: 0.7417 - rpn_class_loss: 0.0033 - rpn_bbox_loss: 0.2192 - mrcnn_class_loss: 0.0284 - mrcnn_bbox_loss: 0.1843 - mrcnn_mask_loss: 0.3065 - val_loss: 0.6735 - val_rpn_class_loss: 0.0024 - val_rpn_bbox_loss: 0.1557 - val_mrcnn_class_loss: 0.0358 - val_mrcnn_bbox_loss: 0.1807 - val_mrcnn_mask_loss: 0.2989\n",
      "Epoch 172/200\n",
      "100/100 [==============================] - 85s 853ms/step - loss: 0.7154 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2038 - mrcnn_class_loss: 0.0251 - mrcnn_bbox_loss: 0.1806 - mrcnn_mask_loss: 0.3029 - val_loss: 0.7131 - val_rpn_class_loss: 0.0017 - val_rpn_bbox_loss: 0.1917 - val_mrcnn_class_loss: 0.0217 - val_mrcnn_bbox_loss: 0.1989 - val_mrcnn_mask_loss: 0.2992\n",
      "Epoch 173/200\n",
      "100/100 [==============================] - 84s 842ms/step - loss: 0.7304 - rpn_class_loss: 0.0028 - rpn_bbox_loss: 0.2191 - mrcnn_class_loss: 0.0239 - mrcnn_bbox_loss: 0.1804 - mrcnn_mask_loss: 0.3042 - val_loss: 0.7205 - val_rpn_class_loss: 0.0035 - val_rpn_bbox_loss: 0.1909 - val_mrcnn_class_loss: 0.0476 - val_mrcnn_bbox_loss: 0.1795 - val_mrcnn_mask_loss: 0.2990\n",
      "Epoch 174/200\n",
      "100/100 [==============================] - 85s 848ms/step - loss: 0.7560 - rpn_class_loss: 0.0029 - rpn_bbox_loss: 0.2169 - mrcnn_class_loss: 0.0319 - mrcnn_bbox_loss: 0.1915 - mrcnn_mask_loss: 0.3128 - val_loss: 0.7806 - val_rpn_class_loss: 0.0035 - val_rpn_bbox_loss: 0.2386 - val_mrcnn_class_loss: 0.0479 - val_mrcnn_bbox_loss: 0.1926 - val_mrcnn_mask_loss: 0.2979\n",
      "Epoch 175/200\n",
      "100/100 [==============================] - 84s 835ms/step - loss: 0.7266 - rpn_class_loss: 0.0029 - rpn_bbox_loss: 0.2147 - mrcnn_class_loss: 0.0266 - mrcnn_bbox_loss: 0.1783 - mrcnn_mask_loss: 0.3042 - val_loss: 0.6879 - val_rpn_class_loss: 0.0023 - val_rpn_bbox_loss: 0.1862 - val_mrcnn_class_loss: 0.0072 - val_mrcnn_bbox_loss: 0.1819 - val_mrcnn_mask_loss: 0.3104\n",
      "Epoch 176/200\n",
      "100/100 [==============================] - 84s 838ms/step - loss: 0.7288 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2147 - mrcnn_class_loss: 0.0287 - mrcnn_bbox_loss: 0.1836 - mrcnn_mask_loss: 0.2987 - val_loss: 0.6279 - val_rpn_class_loss: 0.0026 - val_rpn_bbox_loss: 0.1787 - val_mrcnn_class_loss: 0.0230 - val_mrcnn_bbox_loss: 0.1367 - val_mrcnn_mask_loss: 0.2870\n",
      "Epoch 177/200\n",
      "100/100 [==============================] - 84s 844ms/step - loss: 0.7307 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2124 - mrcnn_class_loss: 0.0242 - mrcnn_bbox_loss: 0.1849 - mrcnn_mask_loss: 0.3060 - val_loss: 0.7700 - val_rpn_class_loss: 0.0037 - val_rpn_bbox_loss: 0.2639 - val_mrcnn_class_loss: 0.0274 - val_mrcnn_bbox_loss: 0.1641 - val_mrcnn_mask_loss: 0.3108\n",
      "Epoch 178/200\n",
      "100/100 [==============================] - 86s 862ms/step - loss: 0.7459 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2249 - mrcnn_class_loss: 0.0279 - mrcnn_bbox_loss: 0.1873 - mrcnn_mask_loss: 0.3028 - val_loss: 0.7229 - val_rpn_class_loss: 0.0028 - val_rpn_bbox_loss: 0.2198 - val_mrcnn_class_loss: 0.0227 - val_mrcnn_bbox_loss: 0.1682 - val_mrcnn_mask_loss: 0.3095\n",
      "Epoch 179/200\n",
      "100/100 [==============================] - 84s 844ms/step - loss: 0.7626 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2300 - mrcnn_class_loss: 0.0277 - mrcnn_bbox_loss: 0.1912 - mrcnn_mask_loss: 0.3105 - val_loss: 0.6413 - val_rpn_class_loss: 0.0021 - val_rpn_bbox_loss: 0.1785 - val_mrcnn_class_loss: 0.0146 - val_mrcnn_bbox_loss: 0.1711 - val_mrcnn_mask_loss: 0.2750\n",
      "Epoch 180/200\n",
      "100/100 [==============================] - 84s 838ms/step - loss: 0.7371 - rpn_class_loss: 0.0029 - rpn_bbox_loss: 0.2198 - mrcnn_class_loss: 0.0272 - mrcnn_bbox_loss: 0.1792 - mrcnn_mask_loss: 0.3081 - val_loss: 0.7034 - val_rpn_class_loss: 0.0061 - val_rpn_bbox_loss: 0.2147 - val_mrcnn_class_loss: 0.0176 - val_mrcnn_bbox_loss: 0.1697 - val_mrcnn_mask_loss: 0.2953\n",
      "Epoch 181/200\n",
      "100/100 [==============================] - 86s 857ms/step - loss: 0.7395 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2155 - mrcnn_class_loss: 0.0310 - mrcnn_bbox_loss: 0.1861 - mrcnn_mask_loss: 0.3040 - val_loss: 0.6211 - val_rpn_class_loss: 0.0018 - val_rpn_bbox_loss: 0.1542 - val_mrcnn_class_loss: 0.0115 - val_mrcnn_bbox_loss: 0.1606 - val_mrcnn_mask_loss: 0.2930\n",
      "Epoch 182/200\n",
      "100/100 [==============================] - 84s 845ms/step - loss: 0.7377 - rpn_class_loss: 0.0031 - rpn_bbox_loss: 0.2153 - mrcnn_class_loss: 0.0252 - mrcnn_bbox_loss: 0.1896 - mrcnn_mask_loss: 0.3045 - val_loss: 0.6743 - val_rpn_class_loss: 0.0025 - val_rpn_bbox_loss: 0.1952 - val_mrcnn_class_loss: 0.0172 - val_mrcnn_bbox_loss: 0.1588 - val_mrcnn_mask_loss: 0.3005\n",
      "Epoch 183/200\n",
      "100/100 [==============================] - 84s 844ms/step - loss: 0.7431 - rpn_class_loss: 0.0029 - rpn_bbox_loss: 0.2125 - mrcnn_class_loss: 0.0274 - mrcnn_bbox_loss: 0.1920 - mrcnn_mask_loss: 0.3083 - val_loss: 0.6474 - val_rpn_class_loss: 0.0029 - val_rpn_bbox_loss: 0.1739 - val_mrcnn_class_loss: 0.0257 - val_mrcnn_bbox_loss: 0.1486 - val_mrcnn_mask_loss: 0.2963\n",
      "Epoch 184/200\n",
      "100/100 [==============================] - 83s 834ms/step - loss: 0.7495 - rpn_class_loss: 0.0029 - rpn_bbox_loss: 0.2265 - mrcnn_class_loss: 0.0242 - mrcnn_bbox_loss: 0.1878 - mrcnn_mask_loss: 0.3081 - val_loss: 0.7456 - val_rpn_class_loss: 0.0035 - val_rpn_bbox_loss: 0.2301 - val_mrcnn_class_loss: 0.0436 - val_mrcnn_bbox_loss: 0.1631 - val_mrcnn_mask_loss: 0.3054\n",
      "Epoch 185/200\n",
      "100/100 [==============================] - 85s 846ms/step - loss: 0.7236 - rpn_class_loss: 0.0027 - rpn_bbox_loss: 0.2157 - mrcnn_class_loss: 0.0270 - mrcnn_bbox_loss: 0.1797 - mrcnn_mask_loss: 0.2985 - val_loss: 0.6433 - val_rpn_class_loss: 0.0024 - val_rpn_bbox_loss: 0.1904 - val_mrcnn_class_loss: 0.0241 - val_mrcnn_bbox_loss: 0.1375 - val_mrcnn_mask_loss: 0.2889\n",
      "Epoch 186/200\n",
      "100/100 [==============================] - 85s 848ms/step - loss: 0.7606 - rpn_class_loss: 0.0026 - rpn_bbox_loss: 0.2321 - mrcnn_class_loss: 0.0287 - mrcnn_bbox_loss: 0.1892 - mrcnn_mask_loss: 0.3079 - val_loss: 0.6824 - val_rpn_class_loss: 0.0035 - val_rpn_bbox_loss: 0.1781 - val_mrcnn_class_loss: 0.0354 - val_mrcnn_bbox_loss: 0.1912 - val_mrcnn_mask_loss: 0.2741\n",
      "Epoch 187/200\n",
      "100/100 [==============================] - 84s 843ms/step - loss: 0.6992 - rpn_class_loss: 0.0025 - rpn_bbox_loss: 0.1994 - mrcnn_class_loss: 0.0241 - mrcnn_bbox_loss: 0.1762 - mrcnn_mask_loss: 0.2971 - val_loss: 0.6670 - val_rpn_class_loss: 0.0028 - val_rpn_bbox_loss: 0.1571 - val_mrcnn_class_loss: 0.0254 - val_mrcnn_bbox_loss: 0.1862 - val_mrcnn_mask_loss: 0.2954\n",
      "Epoch 188/200\n",
      "100/100 [==============================] - 85s 845ms/step - loss: 0.6567 - rpn_class_loss: 0.0027 - rpn_bbox_loss: 0.1876 - mrcnn_class_loss: 0.0232 - mrcnn_bbox_loss: 0.1564 - mrcnn_mask_loss: 0.2868 - val_loss: 0.7214 - val_rpn_class_loss: 0.0028 - val_rpn_bbox_loss: 0.2205 - val_mrcnn_class_loss: 0.0244 - val_mrcnn_bbox_loss: 0.1556 - val_mrcnn_mask_loss: 0.3181\n",
      "Epoch 189/200\n",
      "100/100 [==============================] - 86s 858ms/step - loss: 0.6758 - rpn_class_loss: 0.0027 - rpn_bbox_loss: 0.1923 - mrcnn_class_loss: 0.0225 - mrcnn_bbox_loss: 0.1615 - mrcnn_mask_loss: 0.2967 - val_loss: 0.6097 - val_rpn_class_loss: 0.0019 - val_rpn_bbox_loss: 0.1711 - val_mrcnn_class_loss: 0.0112 - val_mrcnn_bbox_loss: 0.1408 - val_mrcnn_mask_loss: 0.2847\n",
      "Epoch 190/200\n",
      "100/100 [==============================] - 85s 854ms/step - loss: 0.6650 - rpn_class_loss: 0.0029 - rpn_bbox_loss: 0.1884 - mrcnn_class_loss: 0.0185 - mrcnn_bbox_loss: 0.1642 - mrcnn_mask_loss: 0.2910 - val_loss: 0.6721 - val_rpn_class_loss: 0.0020 - val_rpn_bbox_loss: 0.2089 - val_mrcnn_class_loss: 0.0205 - val_mrcnn_bbox_loss: 0.1461 - val_mrcnn_mask_loss: 0.2947\n",
      "Epoch 191/200\n",
      "100/100 [==============================] - 87s 867ms/step - loss: 0.6764 - rpn_class_loss: 0.0028 - rpn_bbox_loss: 0.1799 - mrcnn_class_loss: 0.0224 - mrcnn_bbox_loss: 0.1705 - mrcnn_mask_loss: 0.3008 - val_loss: 0.6830 - val_rpn_class_loss: 0.0026 - val_rpn_bbox_loss: 0.1846 - val_mrcnn_class_loss: 0.0293 - val_mrcnn_bbox_loss: 0.1594 - val_mrcnn_mask_loss: 0.3070\n",
      "Epoch 192/200\n",
      "100/100 [==============================] - 83s 834ms/step - loss: 0.6853 - rpn_class_loss: 0.0025 - rpn_bbox_loss: 0.1835 - mrcnn_class_loss: 0.0254 - mrcnn_bbox_loss: 0.1765 - mrcnn_mask_loss: 0.2974 - val_loss: 0.6902 - val_rpn_class_loss: 0.0022 - val_rpn_bbox_loss: 0.1936 - val_mrcnn_class_loss: 0.0199 - val_mrcnn_bbox_loss: 0.1671 - val_mrcnn_mask_loss: 0.3074\n",
      "Epoch 193/200\n",
      "100/100 [==============================] - 85s 847ms/step - loss: 0.6814 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.1791 - mrcnn_class_loss: 0.0294 - mrcnn_bbox_loss: 0.1730 - mrcnn_mask_loss: 0.2968 - val_loss: 0.6413 - val_rpn_class_loss: 0.0019 - val_rpn_bbox_loss: 0.1835 - val_mrcnn_class_loss: 0.0159 - val_mrcnn_bbox_loss: 0.1589 - val_mrcnn_mask_loss: 0.2810\n",
      "Epoch 194/200\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100/100 [==============================] - 84s 843ms/step - loss: 0.7009 - rpn_class_loss: 0.0034 - rpn_bbox_loss: 0.1995 - mrcnn_class_loss: 0.0246 - mrcnn_bbox_loss: 0.1724 - mrcnn_mask_loss: 0.3010 - val_loss: 0.6138 - val_rpn_class_loss: 0.0034 - val_rpn_bbox_loss: 0.1416 - val_mrcnn_class_loss: 0.0160 - val_mrcnn_bbox_loss: 0.1605 - val_mrcnn_mask_loss: 0.2924\n",
      "Epoch 195/200\n",
      "100/100 [==============================] - 86s 863ms/step - loss: 0.6911 - rpn_class_loss: 0.0027 - rpn_bbox_loss: 0.1963 - mrcnn_class_loss: 0.0277 - mrcnn_bbox_loss: 0.1653 - mrcnn_mask_loss: 0.2992 - val_loss: 0.7096 - val_rpn_class_loss: 0.0026 - val_rpn_bbox_loss: 0.2036 - val_mrcnn_class_loss: 0.0277 - val_mrcnn_bbox_loss: 0.1822 - val_mrcnn_mask_loss: 0.2934\n",
      "Epoch 196/200\n",
      "100/100 [==============================] - 86s 859ms/step - loss: 0.6934 - rpn_class_loss: 0.0029 - rpn_bbox_loss: 0.2017 - mrcnn_class_loss: 0.0265 - mrcnn_bbox_loss: 0.1691 - mrcnn_mask_loss: 0.2932 - val_loss: 0.6777 - val_rpn_class_loss: 0.0020 - val_rpn_bbox_loss: 0.1610 - val_mrcnn_class_loss: 0.0256 - val_mrcnn_bbox_loss: 0.1682 - val_mrcnn_mask_loss: 0.3208\n",
      "Epoch 197/200\n",
      "100/100 [==============================] - 85s 852ms/step - loss: 0.6904 - rpn_class_loss: 0.0032 - rpn_bbox_loss: 0.2020 - mrcnn_class_loss: 0.0231 - mrcnn_bbox_loss: 0.1697 - mrcnn_mask_loss: 0.2924 - val_loss: 0.5577 - val_rpn_class_loss: 0.0023 - val_rpn_bbox_loss: 0.1240 - val_mrcnn_class_loss: 0.0138 - val_mrcnn_bbox_loss: 0.1438 - val_mrcnn_mask_loss: 0.2738\n",
      "Epoch 198/200\n",
      "100/100 [==============================] - 85s 851ms/step - loss: 0.7115 - rpn_class_loss: 0.0030 - rpn_bbox_loss: 0.2023 - mrcnn_class_loss: 0.0262 - mrcnn_bbox_loss: 0.1790 - mrcnn_mask_loss: 0.3011 - val_loss: 0.5928 - val_rpn_class_loss: 0.0033 - val_rpn_bbox_loss: 0.1754 - val_mrcnn_class_loss: 0.0092 - val_mrcnn_bbox_loss: 0.1257 - val_mrcnn_mask_loss: 0.2792\n",
      "Epoch 199/200\n",
      "100/100 [==============================] - 86s 859ms/step - loss: 0.6865 - rpn_class_loss: 0.0027 - rpn_bbox_loss: 0.1869 - mrcnn_class_loss: 0.0222 - mrcnn_bbox_loss: 0.1762 - mrcnn_mask_loss: 0.2985 - val_loss: 0.7213 - val_rpn_class_loss: 0.0028 - val_rpn_bbox_loss: 0.2007 - val_mrcnn_class_loss: 0.0260 - val_mrcnn_bbox_loss: 0.1731 - val_mrcnn_mask_loss: 0.3188\n",
      "Epoch 200/200\n",
      "100/100 [==============================] - 85s 849ms/step - loss: 0.6864 - rpn_class_loss: 0.0027 - rpn_bbox_loss: 0.1864 - mrcnn_class_loss: 0.0256 - mrcnn_bbox_loss: 0.1709 - mrcnn_mask_loss: 0.3008 - val_loss: 0.6218 - val_rpn_class_loss: 0.0039 - val_rpn_bbox_loss: 0.1954 - val_mrcnn_class_loss: 0.0348 - val_mrcnn_bbox_loss: 0.1365 - val_mrcnn_mask_loss: 0.2511\n"
     ]
    }
   ],
   "source": [
    "# Fine tune all layers\n",
    "# Passing layers=\"all\" trains all layers. You can also \n",
    "# pass a regular expression to select which layers to\n",
    "# train by name pattern.\n",
    "model.train(dataset_train, dataset_test, \n",
    "            learning_rate=config.LEARNING_RATE,\n",
    "            epochs=200, \n",
    "            layers=\"all\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Save weights\n",
    "# Typically not needed because callbacks save after every epoch\n",
    "# Uncomment to save manually\n",
    "model_path = os.path.join(MODEL_DIR, \"mask_rcnn_chips_0815.h5\")\n",
    "model.keras_model.save_weights(model_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Detection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading weights from  /mnt/sh_flex_storage/malu/venv/CHIPS_MRCNN/logs_new/mask_rcnn_chips_0815.h5\n"
     ]
    }
   ],
   "source": [
    "class InferenceConfig(ChipsConfig):\n",
    "    GPU_COUNT = 1\n",
    "    IMAGES_PER_GPU = 1\n",
    "\n",
    "inference_config = InferenceConfig()\n",
    "\n",
    "# Recreate the model in inference mode\n",
    "model = modellib.MaskRCNN(mode=\"inference\", \n",
    "                          config=inference_config,\n",
    "                          model_dir= MODEL_DIR)\n",
    "\n",
    "# Get path to saved weights\n",
    "# Either set a specific path or find last trained weights\n",
    "#model_path = os.path.join(MODEL_DIR, \"mask_rcnn_chips.h5\")\n",
    "#model_path = model.find_last()\n",
    "\n",
    "# Load trained weights\n",
    "print(\"Loading weights from \", model_path)\n",
    "model.load_weights(model_path, by_name=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3150"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "14*225"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "original_image           shape: (256, 256, 3)         min:   15.45313  max:  255.00000  float64\n",
      "image_meta               shape: (16,)                 min:    0.00000  max: 1785.00000  float64\n",
      "gt_class_id              shape: (1,)                  min:    2.00000  max:    2.00000  int32\n",
      "gt_bbox                  shape: (1, 4)                min:   31.00000  max:  253.00000  int32\n",
      "gt_mask                  shape: (256, 256, 1)         min:    0.00000  max:    1.00000  bool\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Test on a random image\n",
    "image_id = random.choice(dataset_test.image_ids)\n",
    "original_image, image_meta, gt_class_id, gt_bbox, gt_mask =\\\n",
    "    modellib.load_image_gt(dataset_test, inference_config, \n",
    "                           image_id, use_mini_mask=False)\n",
    "\n",
    "log(\"original_image\", original_image)\n",
    "log(\"image_meta\", image_meta)\n",
    "log(\"gt_class_id\", gt_class_id)\n",
    "log(\"gt_bbox\", gt_bbox)\n",
    "log(\"gt_mask\", gt_mask)\n",
    "\n",
    "visualize.display_instances(original_image, gt_bbox, gt_mask, gt_class_id, \n",
    "                            dataset_train.class_names, figsize=(8, 8),colors=[(0.0, 1.0, 1.0)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing 1 images\n",
      "image                    shape: (256, 256, 3)         min:   15.45313  max:  255.00000  float64\n",
      "molded_images            shape: (1, 256, 256, 3)      min: -108.24688  max:  131.30000  float64\n",
      "image_metas              shape: (1, 16)               min:    0.00000  max:  256.00000  int64\n",
      "anchors                  shape: (1, 16368, 4)         min:   -0.17747  max:    0.99541  float32\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results = model.detect([original_image], verbose=1)\n",
    "\n",
    "r = results[0]\n",
    "visualize.display_instances(original_image, r['rois'], r['masks'], r['class_ids'], \n",
    "                            dataset_test.class_names, r['scores'], [(0.0, 1.0, 1.0)],ax=get_ax())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluation\n",
    "- After 100 epoch :num_null_mask: 21 mAP:  0.5632911392405063\n",
    "- After 200 epoch（head）,150 epoch(all):num_null_mask: 6 mAP:  0.9290780141843973"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "num_null_mask: 7\n",
      "mAP:  0.9336917562724014\n"
     ]
    }
   ],
   "source": [
    "image_ids = np.random.choice(dataset_test.image_ids, 100)\n",
    "APs = []\n",
    "num_null_mask = 0\n",
    "\n",
    "for image_id in image_ids:\n",
    "    # Load image and ground truth data\n",
    "    image, image_meta, gt_class_id, gt_bbox, gt_mask =\\\n",
    "        modellib.load_image_gt(dataset_test, inference_config,\n",
    "                               image_id, use_mini_mask=False)\n",
    "    molded_images = np.expand_dims(modellib.mold_image(image, inference_config), 0)\n",
    "    # Run object detection\n",
    "    results = model.detect([image], verbose=0)\n",
    "    r = results[0]\n",
    "\n",
    "    # Compute AP\n",
    "    if r['masks'].shape[2]==0:\n",
    "        num_null_mask += 1\n",
    "        continue\n",
    "    else:\n",
    "        AP, precisions, recalls, overlaps =\\\n",
    "            utils.compute_ap(gt_bbox, gt_class_id, gt_mask,\n",
    "                             r[\"rois\"], r[\"class_ids\"], r[\"scores\"], r['masks'],iou_threshold=0.3)\n",
    "    APs.append(AP)\n",
    "\n",
    "print(\"num_null_mask:\",num_null_mask)\n",
    "print(\"mAP: \", np.mean(APs))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
